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Volume 202: International Conference on Machine Learning, 23-29 July 2023, Honolulu, Hawaii, USA

[edit]

Editors: Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett

[bib][citeproc]

Data Structures for Density Estimation

Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1-18

ClusterFuG: Clustering Fully connected Graphs by Multicut

Ahmed Abbas, Paul Swoboda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19-30

Generalization on the Unseen, Logic Reasoning and Degree Curriculum

Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31-60

Toward Large Kernel Models

Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:61-78

Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:79-90

Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects

Naoufal Acharki, Ramiro Lugo, Antoine Bertoncello, Josselin Garnier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:91-132

BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming

Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:133-151

SAM operates far from home: eigenvalue regularization as a dynamical phenomenon

Atish Agarwala, Yann Dauphin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:152-168

Second-order regression models exhibit progressive sharpening to the edge of stability

Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:169-195

Global optimality of Elman-type RNNs in the mean-field regime

Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:196-227

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification

Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:228-247

Adaptive IMLE for Few-shot Pretraining-free Generative Modelling

Mehran Aghabozorgi, Shichong Peng, Ke Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:248-264

Scaling Laws for Generative Mixed-Modal Language Models

Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:265-279

Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability

Anass Aghbalou, Guillaume Staerman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:280-303

Constrained Causal Bayesian Optimization

Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:304-321

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models

Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:322-336

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:337-371

Interventional Causal Representation Learning

Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:372-407

Sequential Underspecified Instrument Selection for Cause-Effect Estimation

Elisabeth Ailer, Jason Hartford, Niki Kilbertus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:408-420

Atari-5: Distilling the Arcade Learning Environment down to Five Games

Matthew Aitchison, Penny Sweetser, Marcus Hutter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:421-438

Towards credible visual model interpretation with path attribution

Naveed Akhtar, Mohammad A. A. K. Jalwana; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:439-457

Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data

Ahmet Alacaoglu, Hanbaek Lyu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:458-489

Recasting Self-Attention with Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:490-507

The Saddle-Point Method in Differential Privacy

Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:508-528

Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think

Christian H.X. Ali Mehmeti-Göpel, Jan Disselhoff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:529-546

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models

James Urquhart Allingham, Jie Ren, Michael W Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:547-568

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:569-626

Differentially Private Distributed Bayesian Linear Regression with MCMC

Baris Alparslan, Sinan Yıldırım, Ilker Birbil; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:627-641

Robust and Scalable Bayesian Online Changepoint Detection

Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:642-663

Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels

Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:664-690

Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost

Sanae Amani, Tor Lattimore, András György, Lin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:691-717

A Kernelized Stein Discrepancy for Biological Sequences

Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:718-767

The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation

Philip Amortila, Nan Jiang, Csaba Szepesvari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:768-790

Meta Optimal Transport

Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:791-813

Near-Optimal $Φ$-Regret Learning in Extensive-Form Games

Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:814-839

A Modern Look at the Relationship between Sharpness and Generalization

Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:840-902

SGD with Large Step Sizes Learns Sparse Features

Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:903-925

Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series

Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:926-951

Paging with Succinct Predictions

Antonios Antoniadis, Joan Boyar, Marek Elias, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:952-968

Mixing Predictions for Online Metric Algorithms

Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:969-983

Exponential Smoothing for Off-Policy Learning

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:984-1017

Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

Jamil Arbas, Hassan Ashtiani, Christopher Liaw; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1018-1040

Principled Acceleration of Iterative Numerical Methods Using Machine Learning

Sohei Arisaka, Qianxiao Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1041-1059

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization

Raman Arora, Raef Bassily, Tomás González, Cristóbal A Guzmán, Michael Menart, Enayat Ullah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1060-1092

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning

Nader Asadi, Mohammadreza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1093-1106

Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime

Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1107-1120

From Robustness to Privacy and Back

Hilal Asi, Jonathan Ullman, Lydia Zakynthinou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1121-1146

SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance

Amit Attia, Tomer Koren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1147-1171

Adversarially Robust PAC Learnability of Real-Valued Functions

Idan Attias, Steve Hanneke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1172-1199

Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning

Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1200-1217

Learning to Initiate and Reason in Event-Driven Cascading Processes

Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1218-1243

On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm

Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1244-1275

Dirichlet Diffusion Score Model for Biological Sequence Generation

Pavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1276-1301

Gradient Descent Converges Linearly for Logistic Regression on Separable Data

Kyriakos Axiotis, Maxim Sviridenko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1302-1319

Naive imputation implicitly regularizes high-dimensional linear models

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1320-1340

Half-Hop: A graph upsampling approach for slowing down message passing

Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1341-1360

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1361-1395

Personalized Subgraph Federated Learning

Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1396-1415

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language

Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1416-1429

Efficient preconditioned stochastic gradient descent for estimation in latent variable models

Charlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1430-1453

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection

Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1454-1471

Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

Yushi Bai, Xin Lv, Juanzi Li, Lei Hou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1472-1491

Linear optimal partial transport embedding

Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Shahroz, Soheil Kolouri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1492-1520

Implicit Graph Neural Networks: A Monotone Operator Viewpoint

Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1521-1548

Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems

Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1549-1563

Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures

Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1564-1576

Efficient Online Reinforcement Learning with Offline Data

Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1577-1594

Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes

Marin Ballu, Quentin Berthet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1595-1613

On the Functional Similarity of Robust and Non-Robust Neural Representations

András Balogh, Márk Jelasity; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1614-1635

Robust Budget Pacing with a Single Sample

Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1636-1659

Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1660-1691

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1692-1717

Optimizing the Collaboration Structure in Cross-Silo Federated Learning

Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1718-1736

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1737-1752

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space

Anas Barakat, Ilyas Fatkhullin, Niao He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1753-1800

Interpretable Neural-Symbolic Concept Reasoning

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1801-1825

Moccasin: Efficient Tensor Rematerialization for Neural Networks

Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1826-1837

User-level Private Stochastic Convex Optimization with Optimal Rates

Raef Bassily, Ziteng Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1838-1851

A Statistical Perspective on Retrieval-Based Models

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1852-1886

Human-Timescale Adaptation in an Open-Ended Task Space

Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1887-1935

A Kernel Stein Test of Goodness of Fit for Sequential Models

Jerome Baum, Heishiro Kanagawa, Arthur Gretton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1936-1953

Individually Fair Learning with One-Sided Feedback

Yahav Bechavod, Aaron Roth; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1954-1977

Predicting Ordinary Differential Equations with Transformers

Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1978-2002

Explaining Reinforcement Learning with Shapley Values

Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2003-2014

TIDE: Time Derivative Diffusion for Deep Learning on Graphs

Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2015-2030

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2031-2049

Continuously Parameterized Mixture Models

Christopher M Bender, Yifeng Shi, Marc Niethammer, Junier Oliva; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2050-2062

Controllable Neural Symbolic Regression

Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2063-2077

On Second-Order Scoring Rules for Epistemic Uncertainty Quantification

Viktor Bengs, Eyke Hüllermeier, Willem Waegeman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2078-2091

Certified Robust Neural Networks: Generalization and Corruption Resistance

Amine Bennouna, Ryan Lucas, Bart Van Parys; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2092-2112

Gaussian processes at the Helm(holtz): A more fluid model for ocean currents

Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2113-2163

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2164-2183

Constrained Phi-Equilibria

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2184-2205

Differentiable and Transportable Structure Learning

Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2206-2233

Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision

Arturs Berzins; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2234-2244

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks

Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2245-2271

Neural Algorithmic Reasoning with Causal Regularisation

Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2272-2288

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2289-2312

Bandit Online Linear Optimization with Hints and Queries

Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2313-2336

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2337-2363

Data-Copying in Generative Models: A Formal Framework

Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2364-2396

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, Usvsn Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar Van Der Wal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2397-2430

StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes

Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2431-2451

Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2452-2470

In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation

Julian Bitterwolf, Maximilian Müller, Matthias Hein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2471-2506

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames

Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2507-2527

Understanding Oversquashing in GNNs through the Lens of Effective Resistance

Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2528-2547

Unit Scaling: Out-of-the-Box Low-Precision Training

Charlie Blake, Douglas Orr, Carlo Luschi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2548-2576

FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems

Matthieu Blanke, Marc Lelarge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2577-2591

Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits

Markus Bläser; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2592-2602

Learning the Dynamics of Sparsely Observed Interacting Systems

Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2603-2640

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions

Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2641-2688

Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist

Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2689-2711

A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks

David Boetius, Stefan Leue, Tobias Sutter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2712-2737

Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels

Simone Bombari, Shayan Kiyani, Marco Mondelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2738-2776

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2777-2805

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2806-2823

The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning

Victor Boone, Bruno Gaujal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2824-2856

Model-agnostic Measure of Generalization Difficulty

Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2857-2884

Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge

Shahine Bouabid, Jake Fawkes, Dino Sejdinovic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2885-2913

In Search for a Generalizable Method for Source Free Domain Adaptation

Malik Boudiaf, Tom Denton, Bart Van Merrienboer, Vincent Dumoulin, Eleni Triantafillou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2914-2931

Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling

Adam Bouland, Yosheb M Getachew, Yujia Jin, Aaron Sidford, Kevin Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2932-2952

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2953-3002

Settling the Reward Hypothesis

Michael Bowling, John D Martin, David Abel, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3003-3020

ILLUME: Rationalizing Vision-Language Models through Human Interactions

Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3021-3037

Provably Learning Object-Centric Representations

Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius Von Kügelgen, Wieland Brendel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3038-3062

Quantifying Human Priors over Social and Navigation Networks

Gecia Bravo-Hermsdorff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3063-3105

Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss

Pierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montufar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3106-3147

Emergence of Sparse Representations from Noise

Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3148-3191

Differentially Private Optimization on Large Model at Small Cost

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3192-3218

Machine Learning Force Fields with Data Cost Aware Training

Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3219-3232

Label differential privacy and private training data release

Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3233-3251

The SSL Interplay: Augmentations, Inductive Bias, and Generalization

Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann Lecun, Alberto Bietti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3252-3298

Online Mechanism Design for Information Acquisition

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3299-3326

MyoDex: A Generalizable Prior for Dexterous Manipulation

Vittorio Caggiano, Sudeep Dasari, Vikash Kumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3327-3346

What Can Be Learnt With Wide Convolutional Neural Networks?

Francesco Cagnetta, Alessandro Favero, Matthieu Wyart; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3347-3379

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants

Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3380-3407

On the Connection Between MPNN and Graph Transformer

Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3408-3430

Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition

Dongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3431-3441

Extrapolated Random Tree for Regression

Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3442-3468

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization

Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3469-3494

Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?

Ruisi Cai, Zhenyu Zhang, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3495-3506

Doubly Optimal No-Regret Learning in Monotone Games

Yang Cai, Weiqiang Zheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3507-3524

Multi-Agent Learning from Learners

Mine Melodi Caliskan, Francesco Chini, Setareh Maghsudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3525-3540

Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network

Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3541-3558

Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization

Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3559-3576

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation

Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3577-3598

One-sided Matrix Completion from Two Observations Per Row

Steven Cao, Percy Liang, Gregory Valiant; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3599-3624

State and parameter learning with PARIS particle Gibbs

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3625-3675

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning

Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3676-3713

Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning

Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3714-3731

Scalable Safe Policy Improvement via Monte Carlo Tree Search

Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3732-3756

LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning

Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3757-3781

On the Robustness of Text Vectorizers

Rémi Catellier, Samuel Vaiter, Damien Garreau; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3782-3814

Learning Globally Smooth Functions on Manifolds

Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3815-3854

Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond

Jaeyoung Cha, Jaewook Lee, Chulhee Yun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3855-3912

Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations

Jaehoon Cha, Jeyan Thiyagalingam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3913-3948

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning

Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3949-3978

Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits

Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3979-4008

Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition

Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Remi Munos, Will Dabney, Diana L Borsa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4009-4034

Memory-Based Dual Gaussian Processes for Sequential Learning

Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4035-4054

Muse: Text-To-Image Generation via Masked Generative Transformers

Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4055-4075

On Investigating the Conservative Property of Score-Based Generative Models

Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4076-4095

Robust and private stochastic linear bandits

Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4096-4115

Streaming Submodular Maximization with Differential Privacy

Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4116-4143

Why does Throwing Away Data Improve Worst-Group Error?

Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4144-4188

Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits

Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4189-4217

Correcting discount-factor mismatch in on-policy policy gradient methods

Fengdi Che, Gautham Vasan, A. Rupam Mahmood; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4218-4240

Fast Federated Machine Unlearning with Nonlinear Functional Theory

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4241-4268

On the Statistical Benefits of Temporal Difference Learning

David Cheikhi, Daniel Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4269-4293

Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces

Zhengdao Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4294-4329

Beyond the Edge of Stability via Two-step Gradient Updates

Lei Chen, Joan Bruna; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4330-4391

Trompt: Towards a Better Deep Neural Network for Tabular Data

Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Ting-Wei Chen, Tien-Hao Chang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4392-4434

Differentially Private Stochastic Convex Optimization under a Quantile Loss Function

Du Chen, Geoffrey A. Chua; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4435-4461

Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers

Sitan Chen, Giannis Daras, Alex Dimakis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4462-4484

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation

Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4485-4513

ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines

Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4514-4528

Is Learning Summary Statistics Necessary for Likelihood-free Inference?

Yanzhi Chen, Michael U. Gutmann, Adrian Weller; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4529-4544

Subequivariant Graph Reinforcement Learning in 3D Environments

Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4545-4565

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning

Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4566-4584

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4585-4610

Evolving Semantic Prototype Improves Generative Zero-Shot Learning

Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4611-4622

Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization

Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4623-4640

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4641-4671

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data

Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4672-4712

Sample Complexity of Probability Divergences under Group Symmetry

Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4713-4734

Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Hongrui Chen, Holden Lee, Jianfeng Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4735-4763

Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers

Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4764-4803

HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation

Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4804-4825

Generalized Implicit Follow-The-Regularized-Leader

Keyi Chen, Francesco Orabona; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4826-4838

Fisher Information Embedding for Node and Graph Learning

Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4839-4855

Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues

Jiaxuan Chen, Yu Qi, Gang Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4856-4866

Stratified Adversarial Robustness with Rejection

Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4867-4894

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4895-4920

Model Transferability with Responsive Decision Subjects

Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4921-4952

Layered State Discovery for Incremental Autonomous Exploration

Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4953-5001

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization

Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5002-5035

Learning to Optimize Differentiable Games

Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5036-5051

Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets

Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5052-5086

Semi-Offline Reinforcement Learning for Optimized Text Generation

Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5087-5103

Lower Bounds for Learning in Revealing POMDPs

Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5104-5161

Implicit Neural Spatial Representations for Time-dependent PDEs

Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5162-5177

BEATs: Audio Pre-Training with Acoustic Tokenizers

Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Wanxiang Che, Xiangzhan Yu, Furu Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5178-5193

Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model

Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5194-5218

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization

Lesi Chen, Jing Xu, Luo Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5219-5233

Efficient Personalized Federated Learning via Sparse Model-Adaptation

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5234-5256

A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening

Yifan Chen, Rentian Yao, Yun Yang, Jie Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5257-5281

How to address monotonicity for model risk management?

Dangxing Chen, Weicheng Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5282-5295

Sketched Ridgeless Linear Regression: The Role of Downsampling

Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5296-5326

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Dingyang Chen, Qi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5327-5350

Bidirectional Learning for Offline Model-based Biological Sequence Design

Can Chen, Yingxue Zhang, Xue Liu, Mark Coates; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5351-5366

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling

Tianqi Chen, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5367-5382

Lifelong Language Pretraining with Distribution-Specialized Experts

Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5383-5395

Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization

Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5396-5427

Weakly Supervised Regression with Interval Targets

Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5428-5448

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5449-5471

Identification of the Adversary from a Single Adversarial Example

Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5472-5484

Parallel Online Clustering of Bandits via Hedonic Game

Xiaotong Cheng, Cheng Pan, Setareh Maghsudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5485-5503

Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models

Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5504-5520

Understanding the Role of Feedback in Online Learning with Switching Costs

Duo Cheng, Xingyu Zhou, Bo Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5521-5543

Tighter Bounds on the Expressivity of Transformer Encoders

David Chiang, Peter Cholak, Anand Pillay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5544-5562

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup

Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5563-5599

Hiding Data Helps: On the Benefits of Masking for Sparse Coding

Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5600-5615

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation

Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5616-5630

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations

Hong-Ming Chiu, Richard Y. Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5631-5660

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data

Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5661-5676

On the Convergence of Federated Averaging with Cyclic Client Participation

Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5677-5721

GREAD: Graph Neural Reaction-Diffusion Networks

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5722-5747

Is Overfitting Necessary for Implicit Video Representation?

Hee Min Choi, Hyoa Kang, Dokwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5748-5770

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model

Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-Hwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5771-5786

Restoration based Generative Models

Jaemoo Choi, Yesom Park, Myungjoo Kang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5787-5816

Concept-based Explanations for Out-of-Distribution Detectors

Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5817-5837

Active causal structure learning with advice

Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5838-5867

New metrics and search algorithms for weighted causal DAGs

Davin Choo, Kirankumar Shiragur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5868-5903

Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions

Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5904-5923

Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning

Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush, Abhradeep Guha Thakurta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5924-5963

Taming graph kernels with random features

Krzysztof Marcin Choromanski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5964-5977

Efficient Graph Field Integrators Meet Point Clouds

Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5978-6004

ContraBAR: Contrastive Bayes-Adaptive Deep RL

Era Choshen, Aviv Tamar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6005-6027

Forget Unlearning: Towards True Data-Deletion in Machine Learning

Rishav Chourasia, Neil Shah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6028-6073

Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks

Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6074-6114

What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective

Rhea Chowers, Yair Weiss; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6115-6139

Unifying Molecular and Textual Representations via Multi-task Language Modelling

Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6140-6157

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks

Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6158-6184

Shape-Guided Dual-Memory Learning for 3D Anomaly Detection

Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6185-6194

Multiply Robust Off-policy Evaluation and Learning under Truncation by Death

Jianing Chu, Shu Yang, Wenbin Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6195-6227

InfoOT: Information Maximizing Optimal Transport

Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6228-6242

A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations

Bilal Chughtai, Lawrence Chan, Neel Nanda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6243-6267

Distribution Free Prediction Sets for Node Classification

Jase Clarkson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6268-6278

Sequential Strategic Screening

Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6279-6295

Few-Sample Feature Selection via Feature Manifold Learning

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6296-6319

Spatial Implicit Neural Representations for Global-Scale Species Mapping

Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6320-6342

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs

Andrea Coletta, Svitlana Vyetrenko, Tucker Balch; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6343-6363

Inferring Relational Potentials in Interacting Systems

Armand Comas, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia Camps; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6364-6383

Task-specific experimental design for treatment effect estimation

Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6384-6401

A Mathematical Model for Curriculum Learning for Parities

Elisabetta Cornacchia, Elchanan Mossel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6402-6423

Learning to Maximize Mutual Information for Dynamic Feature Selection

Ian Connick Covert, Wei Qiu, Mingyu Lu, Na Yoon Kim, Nathan J White, Su-In Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6424-6447

Rethinking Weak Supervision in Helping Contrastive Learning

Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6448-6467

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Hugo Cui, Florent Krzakala, Lenka Zdeborova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6468-6521

A General Representation Learning Framework with Generalization Performance Guarantees

Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6522-6544

IRNeXt: Rethinking Convolutional Network Design for Image Restoration

Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6545-6564

Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6565-6590

Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

Yiming Cui, Linjie Yang, Haichao Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6591-6602

Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions

Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6603-6622

In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation

Alicia Curth, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6623-6642

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion

Ashok Cutkosky, Harsh Mehta, Francesco Orabona; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6643-6670

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Marco Cuturi, Michal Klein, Pierre Ablin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6671-6682

From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning

Edwige Cyffers, Aurélien Bellet, Debabrota Basu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6683-6711

Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning

Yanbo Dai, Songze Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6712-6725

Refined Regret for Adversarial MDPs with Linear Function Approximation

Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6726-6759

MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6760-6785

Moderately Distributional Exploration for Domain Generalization

Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6786-6817

Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning

Brett Daley, Martha White, Christopher Amato, Marlos C. Machado; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6818-6835

Efficient displacement convex optimization with particle gradient descent

Hadi Daneshmand, Jason D. Lee, Chi Jin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6836-6854

Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation

Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6855-6872

Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data

Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6873-6947

Reinforcement Learning Can Be More Efficient with Multiple Rewards

Christoph Dann, Yishay Mansour, Mehryar Mohri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6948-6967

Best of Both Worlds Policy Optimization

Christoph Dann, Chen-Yu Wei, Julian Zimmert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6968-7008

Image generation with shortest path diffusion

Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7009-7024

Efficient List-Decodable Regression using Batches

Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7025-7065

Beyond Uniform Lipschitz Condition in Differentially Private Optimization

Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7066-7101

Understanding Self-Distillation in the Presence of Label Noise

Rudrajit Das, Sujay Sanghavi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7102-7140

Interval Bound Interpolation for Few-shot Learning with Few Tasks

Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7141-7166

Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information

Sam Daulton, Maximilian Balandat, Eytan Bakshy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7167-7204

Fast Combinatorial Algorithms for Min Max Correlation Clustering

Sami Davies, Benjamin Moseley, Heather Newman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7205-7230

Predictive Flows for Faster Ford-Fulkerson

Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7231-7248

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data

Thomas Davies, Zhengchao Wan, Ruben J Sanchez-Garcia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7249-7263

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7264-7302

On the Robustness of Randomized Ensembles to Adversarial Perturbations

Hassan Dbouk, Naresh Shanbhag; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7303-7328

Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute

Michiel De Jong, Yury Zemlyanskiy, Nicholas Fitzgerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7329-7342

Continuous Spatiotemporal Transformer

Antonio Henrique De Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David Van Dijk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7343-7365

The Value of Out-of-Distribution Data

Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua T Vogelstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7366-7389

High Fidelity Image Counterfactuals with Probabilistic Causal Models

Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7390-7425

Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation

Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7426-7448

Learning-Rate-Free Learning by D-Adaptation

Aaron Defazio, Konstantin Mishchenko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7449-7479

Scaling Vision Transformers to 22 Billion Parameters

Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7480-7512

Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7513-7532

Blossom: an Anytime Algorithm for Computing Optimal Decision Trees

Emir Demirović, Emmanuel Hebrard, Louis Jean; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7533-7562

Optimizing NOTEARS Objectives via Topological Swaps

Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7563-7595

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning

Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7596-7616

Multi-channel Autobidding with Budget and ROI Constraints

Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7617-7644

Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks

Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7645-7657

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7658-7674

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement

Ailin Deng, Miao Xiong, Bryan Hooi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7675-7693

Hyperbolic Image-text Representations

Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7694-7731

Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing

Aditya Desai, Keren Zhou, Anshumali Shrivastava; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7732-7749

The case for 4-bit precision: k-bit Inference Scaling Laws

Tim Dettmers, Luke Zettlemoyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7750-7774

Fairness in Matching under Uncertainty

Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7775-7794

Efficient Parametric Approximations of Neural Network Function Space Distance

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7795-7812

A Large-Scale Study of Probabilistic Calibration in Neural Network Regression

Victor Dheur, Souhaib Ben Taieb; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7813-7836

Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path

Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7837-7864

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7865-7885

Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA

Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7886-7921

Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals

Ilias Diakonikolas, Daniel Kane, Lisheng Ren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7922-7938

Improving Graph Generation by Restricting Graph Bandwidth

Nathaniel Lee Diamant, Alex M Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7939-7959

Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space

Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7960-7991

Subset-Based Instance Optimality in Private Estimation

Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7992-8014

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models

Nikolaos Dimitriadis, Pascal Frossard, François Fleuret; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8015-8052

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8053-8066

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm

Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8067-8089

Open-Vocabulary Universal Image Segmentation with MaskCLIP

Zheng Ding, Jieke Wang, Zhuowen Tu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8090-8102

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning

Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8103-8119

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance

Anh-Dung Dinh, Daochang Liu, Chang Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8120-8137

Second-Order Optimization with Lazy Hessians

Nikita Doikov, El Mahdi Chayti, Martin Jaggi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8138-8161

Polynomial Preconditioning for Gradient Methods

Nikita Doikov, Anton Rodomanov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8162-8187

On Data Manifolds Entailed by Structural Causal Models

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8188-8201

Towards Understanding and Reducing Graph Structural Noise for GNNs

Mingze Dong, Yuval Kluger; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8202-8226

SpeedDETR: Speed-aware Transformers for End-to-end Object Detection

Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8227-8243

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining

Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8244-8259

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation

Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8260-8275

PASTA: Pessimistic Assortment Optimization

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X Fang, Vahid Tarokh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8276-8295

Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift

Yijun Dong, Yuege Xie, Rachel Ward; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8296-8316

Does Sparsity Help in Learning Misspecified Linear Bandits?

Jialin Dong, Lin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8317-8333

Symmetry-Aware Robot Design with Structured Subgroups

Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8334-8355

DoCoFL: Downlink Compression for Cross-Device Federated Learning

Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8356-8388

Meta-Learning the Inductive Bias of Simple Neural Circuits

Will Dorrell, Maria Yuffa, Peter E. Latham; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8389-8402

Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains

Vishwaraj Doshi, Jie Hu, Do Young Eun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8403-8423

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Matthew Dowling, Yuan Zhao, Il Memming Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8424-8448

On the Convergence Rate of Gaussianization with Random Rotations

Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnoerr, Ullrich Koethe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8449-8468

PaLM-E: An Embodied Multimodal Language Model

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8469-8488

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8489-8510

Multi-task Representation Learning for Pure Exploration in Linear Bandits

Yihan Du, Longbo Huang, Wen Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8511-8564

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8565-8584

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation

Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8585-8631

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8632-8656

Guiding Pretraining in Reinforcement Learning with Large Language Models

Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8657-8677

A Flexible Diffusion Model

Weitao Du, He Zhang, Tao Yang, Yuanqi Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8678-8696

Fast Excess Risk Rates via Offset Rademacher Complexity

Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8697-8716

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8717-8730

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process

Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8731-8746

Are Equivariant Equilibrium Approximators Beneficial?

Zhijian Duan, Yunxuan Ma, Xiaotie Deng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8747-8778

Evaluating Self-Supervised Learning via Risk Decomposition

Yann Dubois, Tatsunori Hashimoto, Percy Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8779-8820

Fully Dynamic Submodular Maximization over Matroids

Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8821-8835

Optimal No-Regret Learning for One-Sided Lipschitz Functions

Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8836-8850

Integrating Prior Knowledge in Contrastive Learning with Kernel

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8851-8878

Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows

Owen M Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8879-8901

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons

Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero P Simoncelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8902-8921

Generalization Bounds using Data-Dependent Fractal Dimensions

Benjamin Dupuis, George Deligiannidis, Umut Simsekli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8922-8968

Multi-Objective Population Based Training

Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter Bosman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8969-8989

Neural Diffusion Processes

Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8990-9012

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Alexandre Agm Duval, Victor Schmidt, Alex Hernández-Garcı́a, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9013-9033

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9034-9059

The Computational Complexity of Concise Hypersphere Classification

Eduard Eiben, Robert Ganian, Iyad A. Kanj, Sebastian Ordyniak, Stefan Szeider; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9060-9070

E$(n)$ Equivariant Message Passing Simplicial Networks

Floor Eijkelboom, Rob Hesselink, Erik J Bekkers; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9071-9081

Performative Recommendation: Diversifying Content via Strategic Incentives

Itay Eilat, Nir Rosenfeld; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9082-9103

Hyperparameters in Reinforcement Learning and How To Tune Them

Theresa Eimer, Marius Lindauer, Roberta Raileanu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9104-9149

Fairness in Streaming Submodular Maximization over a Matroid Constraint

Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9150-9171

Difference of submodular minimization via DC programming

Marwa El Halabi, George Orfanides, Tim Hoheisel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9172-9201

Graph Positional Encoding via Random Feature Propagation

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9202-9223

Improving Graph Neural Networks with Learnable Propagation Operators

Moshe Eliasof, Lars Ruthotto, Eran Treister; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9224-9245

Phase Transitions in the Detection of Correlated Databases

Dor Elimelech, Wasim Huleihel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9246-9266

A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree

Yury Elkin, Vitaliy Kurlin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9267-9311

Motion Question Answering via Modular Motion Programs

Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9312-9328

Learning Perturbations to Explain Time Series Predictions

Joseph Enguehard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9329-9342

Regret Minimization and Convergence to Equilibria in General-sum Markov Games

Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9343-9373

Delayed Bandits: When Do Intermediate Observations Help?

Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9374-9395

Scaling Spherical CNNs

Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9396-9411

Stochastic Gradient Descent under Markovian Sampling Schemes

Mathieu Even; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9412-9439

Continual Learning in Linear Classification on Separable Data

Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9440-9484

A Connection between One-Step RL and Critic Regularization in Reinforcement Learning

Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9485-9507

Neural Status Registers

Lukas Faber, Roger Wattenhofer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9508-9522

Learning Rate Schedules in the Presence of Distribution Shift

Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9523-9546

Predicting Rare Events by Shrinking Towards Proportional Odds

Gregory Faletto, Jacob Bien; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9547-9602

Free-Form Variational Inference for Gaussian Process State-Space Models

Xuhui Fan, Edwin V. Bonilla, Terence O’Kane, Scott A Sisson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9603-9622

Optimizing DDPM Sampling with Shortcut Fine-Tuning

Ying Fan, Kangwook Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9623-9639

LSDS++ : Dual Sampling for Accelerated k-means++

Chenglin Fan, Ping Li, Xiaoyun Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9640-9649

Smart Initial Basis Selection for Linear Programs

Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9650-9664

General Covariance Data Augmentation for Neural PDE Solvers

Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan Oseledets; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9665-9688

The Fast Johnson-Lindenstrauss Transform Is Even Faster

Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9689-9715

Regression with Label Permutation in Generalized Linear Model

Guanhua Fang, Ping Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9716-9760

Robust Collaborative Learning with Linear Gradient Overhead

Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9761-9813

Neural FIM for learning Fisher information metrics from point cloud data

Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9814-9826

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies

Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9827-9869

Parallel Neurosymbolic Integration with Concordia

Jonathan Feldstein, Modestas Jurčius, Efthymia Tsamoura; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9870-9885

Why Target Networks Stabilise Temporal Difference Methods

Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9886-9909

Weighted Sampling without Replacement for Deep Top-$k$ Classification

Dieqiao Feng, Yuanqi Du, Carla P Gomes, Bart Selman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9910-9920

Improved Online Learning Algorithms for CTR Prediction in Ad Auctions

Zhe Feng, Christopher Liaw, Zixin Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9921-9937

Fractional Denoising for 3D Molecular Pre-training

Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9938-9961

Improved Algorithms for White-Box Adversarial Streams

Ying Feng, David Woodruff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9962-9975

Non-stationary Reinforcement Learning under General Function Approximation

Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9976-10007

Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10008-10033

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems

Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10034-10052

Scaling Laws for Multilingual Neural Machine Translation

Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10053-10071

Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation

Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10072-10092

Adapting to game trees in zero-sum imperfect information games

Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10093-10135

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Nunez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10136-10152

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging

Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna Wardlaw, Grant Mair, Emanuele Trucco, Amos Storkey; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10153-10169

Explainable Data-Driven Optimization: From Context to Decision and Back Again

Alexandre Forel, Axel Parmentier, Thibaut Vidal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10170-10187

Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games

Dylan J Foster, Noah Golowich, Sham M. Kakade; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10188-10221

Disentangled Generative Models for Robust Prediction of System Dynamics

Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10222-10248

Can Forward Gradient Match Backpropagation?

Louis Fournier, Stephane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10249-10264

Last Switch Dependent Bandits with Monotone Payoff Functions

Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10265-10284

A Theoretical Analysis of the Learning Dynamics under Class Imbalance

Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10285-10322

SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot

Elias Frantar, Dan Alistarh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10323-10337

Learning Temporally AbstractWorld Models without Online Experimentation

Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10338-10356

A Coupled Flow Approach to Imitation Learning

Gideon Joseph Freund, Elad Sarafian, Sarit Kraus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10357-10372

Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Daniel Y Fu, Elliot L Epstein, Eric Nguyen, Armin W Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Re; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10373-10391

MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses

Yang Fu, Ishan Misra, Xiaolong Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10392-10404

Go Beyond Imagination: Maximizing Episodic Reachability with World Models

Yao Fu, Run Peng, Honglak Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10405-10420

Specializing Smaller Language Models towards Multi-Step Reasoning

Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10421-10430

Accelerated Stochastic Optimization Methods under Quasar-convexity

Qiang Fu, Dongchu Xu, Ashia Camage Wilson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10431-10460

Meta-learning Parameterized Skills

Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10461-10481

NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations

Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10482-10493

Hierarchies of Reward Machines

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10494-10541

Why Random Pruning Is All We Need to Start Sparse

Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10542-10570

Cell-Free Latent Go-Explore

Quentin Gallouédec, Emmanuel Dellandrea; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10571-10586

Graph Reinforcement Learning for Network Control via Bi-Level Optimization

Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10587-10610

Why Is Public Pretraining Necessary for Private Model Training?

Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10611-10627

Do Perceptually Aligned Gradients Imply Robustness?

Roy Ganz, Bahjat Kawar, Michael Elad; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10628-10648

Solving Linear Programs with Fast Online Learning Algorithms

Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10649-10675

Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks

Yihang Gao, Yiqi Gu, Michael Ng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10676-10707

Generalizing Neural Wave Functions

Nicholas Gao, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10708-10726

On the Impact of Algorithmic Recourse on Social Segregation

Ruijiang Gao, Himabindu Lakkaraju; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10727-10743

DDGR: Continual Learning with Deep Diffusion-based Generative Replay

Rui Gao, Weiwei Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10744-10763

PAL: Program-aided Language Models

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10764-10799

Out-of-Domain Robustness via Targeted Augmentations

Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10800-10834

Scaling Laws for Reward Model Overoptimization

Leo Gao, John Schulman, Jacob Hilton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10835-10866

The Unreasonable Effectiveness of Few-shot Learning for Machine Translation

Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Melvin Johnson, Orhan Firat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10867-10878

RLSbench: Domain Adaptation Under Relaxed Label Shift

Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10879-10928

RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank

Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10929-10974

Self-supervised learning of Split Invariant Equivariant representations

Quentin Garrido, Laurent Najman, Yann Lecun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10975-10996

Federated Heavy Hitter Recovery under Linear Sketching

Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10997-11012

On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization

Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11013-11049

A Reinforcement Learning Framework for Dynamic Mediation Analysis

Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11050-11097

Compositional Score Modeling for Simulation-Based Inference

Tomas Geffner, George Papamakarios, Andriy Mnih; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11098-11116

Cramming: Training a Language Model on a single GPU in one day.

Jonas Geiping, Tom Goldstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11117-11143

Transformers Meet Directed Graphs

Simon Geisler, Yujia Li, Daniel J Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11144-11172

Memory-Based Meta-Learning on Non-Stationary Distributions

Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11173-11195

Towards Reliable Neural Specifications

Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11196-11212

Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning

Matthias Gerstgrasser, David C. Parkes; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11213-11236

Approximately Optimal Core Shapes for Tensor Decompositions

Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11237-11254

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11255-11282

On User-Level Private Convex Optimization

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11283-11299

Contextual Reliability: When Different Features Matter in Different Contexts

Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca Dragan, Aditi Raghunathan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11300-11320

Reinforcement Learning from Passive Data via Latent Intentions

Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11321-11339

Harmonic Neural Networks

Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, Jeong-Il Kye, Vincent Emanuel Elfving; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11340-11359

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11360-11397

Looped Transformers as Programmable Computers

Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11398-11442

Generalized Disparate Impact for Configurable Fairness Solutions in ML

Luca Giuliani, Eleonora Misino, Michele Lombardi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11443-11458

Multicalibration as Boosting for Regression

Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11459-11492

Adversarial robustness of amortized Bayesian inference

Manuel Gloeckler, Michael Deistler, Jakob H. Macke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11493-11524

Efficient RL via Disentangled Environment and Agent Representations

Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11525-11545

Aligning Language Models with Preferences through $f$-divergence Minimization

Dongyoung Go, Tomasz Korbak, Germàn Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11546-11583

Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues

Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stephan Clémençon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11584-11597

Learning Distributions over Quantum Measurement Outcomes

Weiyuan Gong, Scott Aaronson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11598-11613

Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity

Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11614-11641

Adaptive Annealed Importance Sampling with Constant Rate Progress

Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11642-11658

Formalizing Preferences Over Runtime Distributions

Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11659-11682

Topological Point Cloud Clustering

Vincent Peter Grande, Michael T Schaub; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11683-11697

On Sampling with Approximate Transport Maps

Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11698-11733

Hidden Symmetries of ReLU Networks

Elisenda Grigsby, Kathryn Lindsey, David Rolnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11734-11760

EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression

Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11761-11807

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11808-11826

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11827-11846

On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances

Aritra Guha, Nhat Ho, Xuanlong Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11847-11870

Conformalization of Sparse Generalized Linear Models

Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11871-11887

Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11888-11904

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships

Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11905-11933

FeDXL: Provable Federated Learning for Deep X-Risk Optimization

Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11934-11966

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP

Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11967-11997

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11998-12011

Linkless Link Prediction via Relational Distillation

Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12012-12033

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

Yongxin Guo, Xiaoying Tang, Tao Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12034-12054

Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction

Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12055-12076

Graph Neural Networks with Learnable and Optimal Polynomial Bases

Yuhe Guo, Zhewei Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12077-12097

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian Mcauley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12098-12107

Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms

Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12108-12121

Identifying Useful Learnwares for Heterogeneous Label Spaces

Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12122-12131

High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors

Shivam Gupta, Jasper C.H. Lee, Eric Price; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12132-12164

GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets

Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12165-12181

Online Platt Scaling with Calibeating

Chirag Gupta, Aaditya Ramdas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12182-12204

Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal

Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12205-12223

Conditionally Strongly Log-Concave Generative Models

Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12224-12251

DRew: Dynamically Rewired Message Passing with Delay

Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12252-12267

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network

Marie Guyomard, Susana Barbosa, Lionel Fillatre; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12268-12291

Conformal Prediction Sets for Graph Neural Networks

Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12292-12318

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning

Seungwoong Ha, Hawoong Jeong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12319-12338

Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction

Daniel Haider, Martin Ehler, Peter Balazs; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12339-12350

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees

Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12351-12367

Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition

Boran Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12368-12388

On the Impact of Knowledge Distillation for Model Interpretability

Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12389-12410

Alternately Optimized Graph Neural Networks

Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12411-12429

System Identification of Neural Systems: If We Got It Right, Would We Know?

Yena Han, Tomaso A Poggio, Brian Cheung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12430-12444

Total Variation Graph Neural Networks

Jonas Berg Hansen, Filippo Maria Bianchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12445-12468

Learning Physical Models that Can Respect Conservation Laws

Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12469-12510

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline

Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12511-12526

Leveraging Demonstrations to Improve Online Learning: Quality Matters

Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12527-12545

Coupled Variational Autoencoder

Xiaoran Hao, Patrick Shafto; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12546-12555

GNOT: A General Neural Operator Transformer for Operator Learning

Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12556-12569

Algorithmic Collective Action in Machine Learning

Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12570-12586

Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients

Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12587-12615

Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting

Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12616-12632

Global Context Vision Transformers

Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12633-12646

Counterfactual Analysis in Dynamic Latent State Models

Martin B Haugh, Raghav Singal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12647-12677

Sampling-based Nyström Approximation and Kernel Quadrature

Satoshi Hayakawa, Harald Oberhauser, Terry Lyons; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12678-12699

Width and Depth Limits Commute in Residual Networks

Soufiane Hayou, Greg Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12700-12723

A Generalization of ViT/MLP-Mixer to Graphs

Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, Xavier Bresson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12724-12745

Domain Adaptation for Time Series Under Feature and Label Shifts

Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12746-12774

Contrastive Learning Meets Homophily: Two Birds with One Stone

Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12775-12789

Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes

Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12790-12822

CRISP: Curriculum based Sequential neural decoders for Polar code family

S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12823-12845

Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting

Jonathan Hehir, Daniel Ting, Graham Cormode; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12846-12865

Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification

Florian Heinrichs, Mavin Heim, Corinna Weber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12866-12881

Distance Weighted Supervised Learning for Offline Interaction Data

Joey Hejna, Jensen Gao, Dorsa Sadigh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12882-12906

Group Equivariant Fourier Neural Operators for Partial Differential Equations

Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12907-12930

Training-Free Neural Active Learning with Initialization-Robustness Guarantees

Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12931-12971

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs

Mikael Henaff, Minqi Jiang, Roberta Raileanu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12972-12999

Robust Camera Pose Refinement for Multi-Resolution Hash Encoding

Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13000-13016

Generalized Teacher Forcing for Learning Chaotic Dynamics

Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13017-13049

Causal Modeling of Policy Interventions From Treatment-Outcome Sequences

Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13050-13084

Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes

Liam Hodgkinson, Chris Van Der Heide, Fred Roosta, Michael W. Mahoney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13085-13117

AdaBoost is not an Optimal Weak to Strong Learner

Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13118-13140

Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

Rasmus Høier, D. Staudt, Christopher Zach; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13141-13156

Multi-Task Off-Policy Learning from Bandit Feedback

Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13157-13173

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching

Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13174-13198

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers

Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13199-13212

simple diffusion: End-to-end diffusion for high resolution images

Emiel Hoogeboom, Jonathan Heek, Tim Salimans; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13213-13232

Causal Strategic Classification: A Tale of Two Shifts

Guy Horowitz, Nir Rosenfeld; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13233-13253

Fair and Accurate Decision Making through Group-Aware Learning

Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13254-13269

Approximation Algorithms for Fair Range Clustering

Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13270-13284

Decoding Layer Saliency in Language Transformers

Elizabeth Mary Hou, Gregory David Castanon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13285-13308

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13309-13324

Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach

Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13325-13352

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13353-13409

Automatic Data Augmentation via Invariance-Constrained Learning

Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13410-13433

Thompson Sampling with Diffusion Generative Prior

Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13434-13468

Tighter Analysis for ProxSkip

Zhengmian Hu, Heng Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13469-13496

Omnipredictors for Constrained Optimization

Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13497-13527

GFlowNet-EM for Learning Compositional Latent Variable Models

Edward J Hu, Nikolay Malkin, Moksh Jain, Katie E Everett, Alexandros Graikos, Yoshua Bengio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13528-13549

Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization

Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13550-13583

Language Instructed Reinforcement Learning for Human-AI Coordination

Hengyuan Hu, Dorsa Sadigh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13584-13598

Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction

Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13599-13609

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13610-13627

For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal

Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13628-13651

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization

Zhengmian Hu, Xidong Wu, Heng Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13652-13678

Understanding the Impact of Adversarial Robustness on Accuracy Disparity

Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13679-13709

Reinforcement Learning in Low-rank MDPs with Density Features

Audrey Huang, Jinglin Chen, Nan Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13710-13752

Composer: Creative and Controllable Image Synthesis with Composable Conditions

Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13753-13773

Model-Aware Contrastive Learning: Towards Escaping the Dilemmas

Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13774-13790

High-dimensional Clustering onto Hamiltonian Cycle

Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13791-13813

Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning

Jiatai Huang, Yan Dai, Longbo Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13814-13844

Fast Algorithms for Distributed k-Clustering with Outliers

Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13845-13868

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning

Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13869-13890

On Coresets for Clustering in Small Dimensional Euclidean spaces

Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13891-13915

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13916-13932

The Power of Uniform Sampling for k-Median

Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13933-13956

Reparameterized Policy Learning for Multimodal Trajectory Optimization

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13957-13975

Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming

Yufan Huang, C. Seshadhri, David F. Gleich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13976-13992

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition

Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13993-14006

Policy Contrastive Imitation Learning

Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14007-14022

Are Large Kernels Better Teachers than Transformers for ConvNets?

Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14023-14038

Achieving Linear Speedup in Non-IID Federated Bilevel Learning

Minhui Huang, Dewei Zhang, Kaiyi Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14039-14059

Federated Linear Contextual Bandits with User-level Differential Privacy

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14060-14095

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14096-14113

Cut your Losses with Squentropy

Like Hui, Mikhail Belkin, Stephen Wright; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14114-14131

SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series

Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M Van Gilst, Ruud Van Sloun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14132-14152

One-Shot Federated Conformal Prediction

Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14153-14177

The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics

Aamal Hussain, Francesco Belardinelli, Dario Paccagnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14178-14202

Combinatorial Neural Bandits

Taehyun Hwang, Kyuwook Chai, Min-Hwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14203-14236

MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action

Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14237-14248

Information-Theoretic State Space Model for Multi-View Reinforcement Learning

Hyeongjoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14249-14282

Under-Counted Tensor Completion with Neural Incorporation of Attributes

Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14283-14315

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Alexander Immer, Christoph Schultheiss, Julia E Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14316-14332

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Alexander Immer, Tycho F. A. Van Der Ouderaa, Mark Van Der Wilk, Gunnar Ratsch, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14333-14352

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees

Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14353-14375

Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods

Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14376-14389

Principled Offline RL in the Presence of Rich Exogenous Information

Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14390-14421

Unveiling the Latent Space Geometry of Push-Forward Generative Models

Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14422-14444

CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design

Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14445-14464

DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule

Maor Ivgi, Oliver Hinder, Yair Carmon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14465-14499

Maximal Initial Learning Rates in Deep ReLU Networks

Gaurav Iyer, Boris Hanin, David Rolnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14500-14530

Data-Driven Subgroup Identification for Linear Regression

Zachary Izzo, Ruishan Liu, James Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14531-14552

Efficient Training of Language Models using Few-Shot Learning

Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14553-14568

Scalable Adaptive Computation for Iterative Generation

Allan Jabri, David J. Fleet, Ting Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14569-14589

Unconstrained Online Learning with Unbounded Losses

Andrew Jacobsen, Ashok Cutkosky; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14590-14630

Multi-Objective GFlowNets

Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14631-14653

The Price of Differential Privacy under Continual Observation

Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14654-14678

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14679-14690

Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14691-14701

Exploring the Benefits of Training Expert Language Models over Instruction Tuning

Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14702-14729

Learning to Boost Training by Periodic Nowcasting Near Future Weights

Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14730-14757

Unscented Autoencoder

Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14758-14779

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14780-14816

BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning

Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14817-14835

Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing

Hyeonsu Jeong, Hye Won Chung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14836-14868

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks

Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14869-14885

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14886-14901

Short-lived High-volume Bandits

Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A Li, R. Ravi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14902-14929

Smooth Non-stationary Bandits

Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14930-14944

A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates

Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14945-14974

VIMA: Robot Manipulation with Multimodal Prompts

Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14975-15022

Estimating Causal Effects using a Multi-task Deep Ensemble

Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15023-15040

Online Restless Bandits with Unobserved States

Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15041-15066

Detecting Out-of-distribution Data through In-distribution Class Prior

Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15067-15088

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15089-15104

Learning Unnormalized Statistical Models via Compositional Optimization

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15105-15124

Approximate Causal Effect Identification under Weak Confounding

Ziwei Jiang, Lai Wei, Murat Kocaoglu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15125-15143

MEWL: Few-shot multimodal word learning with referential uncertainty

Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15144-15169

NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes

Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15170-15185

Effective Structured Prompting by Meta-Learning and Representative Verbalizer

Weisen Jiang, Yu Zhang, James Kwok; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15186-15199

Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing

Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15200-15238

Thompson Sampling with Less Exploration is Fast and Optimal

Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15239-15261

R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents

Daniel D. Johnson, Daniel Tarlow, Christian Walder; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15262-15306

Automatically Auditing Large Language Models via Discrete Optimization

Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15307-15329

On the Expressive Power of Geometric Graph Neural Networks

Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15330-15355

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least

Siddharth Joshi, Baharan Mirzasoleiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15356-15370

Robust Subtask Learning for Compositional Generalization

Kishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15371-15387

On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization

Amir Joudaki, Hadi Daneshmand, Francis Bach; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15388-15400

FARE: Provably Fair Representation Learning with Practical Certificates

Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15401-15420

Scaling of Class-wise Training Losses for Post-hoc Calibration

Seungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15421-15434

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation

Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15435-15450

Estimating Joint Treatment Effects by Combining Multiple Experiments

Yonghan Jung, Jin Tian, Elias Bareinboim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15451-15527

The Catalog Problem: Clustering and Ordering Variable-Sized Sets

Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15528-15545

Equivariance with Learned Canonicalization Functions

Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15546-15566

Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15567-15585

Statistical Indistinguishability of Learning Algorithms

Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15586-15622

Identifying Interpretable Subspaces in Image Representations

Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15623-15638

Nonlinear Causal Discovery with Latent Confounders

David Kaltenpoth, Jilles Vreeken; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15639-15654

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search

Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15655-15668

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15669-15695

Large Language Models Struggle to Learn Long-Tail Knowledge

Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15696-15707

Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models

Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15708-15719

A Deep Conjugate Direction Method for Iteratively Solving Linear Systems

Ayano Kaneda, Osman Akar, Jingyu Chen, Victoria Alicia Trevino Kala, David Hyde, Joseph Teran; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15720-15736

Leveraging Proxy of Training Data for Test-Time Adaptation

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15737-15752

Beyond Reward: Offline Preference-guided Policy Optimization

Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15753-15768

Poisoning Generative Replay in Continual Learning to Promote Forgetting

Siteng Kang, Zhan Shi, Xinhua Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15769-15785

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15786-15808

Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias

Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15809-15827

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning

Amin Karbasi, Nikki Lijing Kuang, Yian Ma, Siddharth Mitra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15828-15860

On the Relationship Between Explanation and Prediction: A Causal View

Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15861-15883

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis

Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15884-15899

General Sequential Episodic Memory Model

Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15900-15910

Regression with Sensor Data Containing Incomplete Observations

Takayuki Katsuki, Takayuki Osogami; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15911-15927

Data Representations’ Study of Latent Image Manifolds

Ilya Kaufman, Omri Azencot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15928-15945

Multi-Modal Classifiers for Open-Vocabulary Object Detection

Prannay Kaul, Weidi Xie, Andrew Zisserman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15946-15969

Learning Mixtures of Markov Chains and MDPs

Chinmaya Kausik, Kevin Tan, Ambuj Tewari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15970-16017

Curious Replay for Model-based Adaptation

Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16018-16048

How Does Information Bottleneck Help Deep Learning?

Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16049-16096

Instrumental Variable Estimation of Average Partial Causal Effects

Yuta Kawakami, Manabu Kuroki, Jin Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16097-16130

The Test of Tests: A Framework for Differentially Private Hypothesis Testing

Zeki Kazan, Kaiyan Shi, Adam Groce, Andrew P Bray; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16131-16151

Exact Inference in High-order Structured Prediction

Chuyang Ke, Jean Honorio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16152-16167

Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks

T. Anderson Keller, Max Welling; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16168-16189

Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions

Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16190-16215

Rethinking Backdoor Attacks

Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16216-16236

PAC Prediction Sets for Large Language Models of Code

Adam Khakhar, Stephen Mell, Osbert Bastani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16237-16249

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems

Mohammad Khalafi, Digvijay Boob; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16250-16270

Loss Balancing for Fair Supervised Learning

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16271-16290

Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach

Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16291-16325

Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions

Mahyar Khayatkhoei, Wael Abdalmageed; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16326-16343

Learning-augmented private algorithms for multiple quantile release

Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16344-16376

CrossSplit: Mitigating Label Noise Memorization through Data Splitting

Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16377-16392

Trainability, Expressivity and Interpretability in Gated Neural ODEs

Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16393-16423

SAAL: Sharpness-Aware Active Learning

Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16424-16440

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

Jigang Kim, Daesol Cho, H. Jin Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16441-16457

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback

Wonyoung Kim, Garud Iyengar, Assaf Zeevi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16458-16501

Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming

Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16502-16520

Probabilistic Concept Bottleneck Models

Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16521-16540

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16541-16566

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16567-16598

Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning

Junghoon Kim, Taejoon Kim, David Love, Christopher Brinton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16599-16618

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework

Woojun Kim, Jeonghye Kim, Youngchul Sung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16619-16638

BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models

Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16639-16653

Probabilistic Imputation for Time-series Classification with Missing Data

Seunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16654-16667

Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills

Seongun Kim, Kyowoon Lee, Jaesik Choi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16668-16695

Margin-based Neural Network Watermarking

Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16696-16711

Regularizing Towards Soft Equivariance Under Mixed Symmetries

Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16712-16727

Model-based Offline Reinforcement Learning with Count-based Conservatism

Byeongchan Kim, Min-Hwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16728-16746

Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization

Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16747-16770

SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes

Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16771-16786

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning

Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16787-16806

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning

Jaehyung Kim, Jinwoo Shin, Dongyeop Kang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16807-16828

An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning

Woojun Kim, Youngchul Sung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16829-16852

Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference

Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16853-16876

Learnability and Algorithm for Continual Learning

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16877-16896

Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions

Jungbin Kim, Insoon Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16897-16954

Denoising MCMC for Accelerating Diffusion-Based Generative Models

Beomsu Kim, Jong Chul Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16955-16977

Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs

Dale Kim, Qing Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16978-16996

Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning

Kwangho Kim, Jose R Zubizarreta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16997-17014

Proper Losses for Discrete Generative Models

Dhamma Kimpara, Rafael Frongillo, Bo Waggoner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17015-17040

Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network

Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-Ichi Maeda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17041-17060

A Watermark for Large Language Models

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17061-17084

Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs

Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17085-17104

Training Normalizing Flows from Dependent Data

Matthias Kirchler, Christoph Lippert, Marius Kloft; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17105-17121

IncDSI: Incrementally Updatable Document Retrieval

Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q Weinberger; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17122-17134

Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice

Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17135-17175

Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions

Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M Morris, Charlotte Deane, Yee Whye Teh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17176-17197

Deep Laplacian-based Options for Temporally-Extended Exploration

Martin Klissarov, Marlos C. Machado; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17198-17217

Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost

Marina Knittel, Max Springer, John P Dickerson, Mohammadtaghi Hajiaghayi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17218-17242

Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?

Boris Knyazev, Doha Hwang, Simon Lacoste-Julien; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17243-17259

Online Learning with Feedback Graphs: The True Shape of Regret

Tomáš Kocák, Alexandra Carpentier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17260-17282

Grounding Language Models to Images for Multimodal Inputs and Outputs

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17283-17300

Rigid Body Flows for Sampling Molecular Crystal Structures

Jonas Köhler, Michele Invernizzi, Pim De Haan, Frank Noe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17301-17326

Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets

Nils Kohring, Fabian Raoul Pieroth, Martin Bichler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17327-17342

Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees

Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17343-17363

On Computing Optimal Tree Ensembles

Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17364-17374

GOAT: A Global Transformer on Large-scale Graphs

Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17375-17390

Autoregressive Diffusion Model for Graph Generation

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17391-17408

End-to-End Full-Atom Antibody Design

Xiangzhe Kong, Wenbing Huang, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17409-17429

Covariate balancing using the integral probability metric for causal inference

Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17430-17461

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference

Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17462-17491

Parameter-Level Soft-Masking for Continual Learning

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17492-17505

Pretraining Language Models with Human Preferences

Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17506-17533

Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions

Ezgi Korkmaz, Jonah Brown-Cohen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17534-17543

Ewald-based Long-Range Message Passing for Molecular Graphs

Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17544-17563

TabDDPM: Modelling Tabular Data with Diffusion Models

Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17564-17579

Randomized Schur Complement Views for Graph Contrastive Learning

Vignesh Kothapalli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17580-17614

Benign Overfitting in Two-layer ReLU Convolutional Neural Networks

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17615-17659

Variational Mixture of HyperGenerators for Learning Distributions over Functions

Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17660-17683

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond

Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17684-17744

Estimation Beyond Data Reweighting: Kernel Method of Moments

Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17745-17783

Multi-Task Differential Privacy Under Distribution Skew

Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17784-17807

Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten

Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17808-17826

Graph Neural Tangent Kernel: Convergence on Large Graphs

Sanjukta Krishnagopal, Luana Ruiz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17827-17841

Diffusion Models for Black-Box Optimization

Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17842-17857

Learning to Design Analog Circuits to Meet Threshold Specifications

Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17858-17873

Variance Control for Distributional Reinforcement Learning

Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17874-17895

Hierarchical Imitation Learning with Vector Quantized Models

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17896-17919

SinDDM: A Single Image Denoising Diffusion Model

Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17920-17930

Towards Explaining Distribution Shifts

Sean Kulinski, David I. Inouye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17931-17952

Featured Graph Coarsening with Similarity Guarantees

Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17953-17975

Modeling Dynamic Environments with Scene Graph Memory

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martı́n-Martı́n; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17976-17993

Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17994-18007

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders

Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Vı́ctor Elvira, Jens Lagergren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18008-18022

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency

Min-Seop Kwak, Jiuhn Song, Seungryong Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18023-18036

Rotation and Translation Invariant Representation Learning with Implicit Neural Representations

Sehyun Kwon, Joo Young Choi, Ernest K. Ryu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18037-18056

Reward-Mixing MDPs with Few Latent Contexts are Learnable

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18057-18082

A Fully First-Order Method for Stochastic Bilevel Optimization

Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18083-18113

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning

Dohyun Kwon, Hanbaek Lyu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18114-18134

Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value

Yongchan Kwon, James Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18135-18152

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning

Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18153-18170

Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning

Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18171-18206

Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs

Steinar Laenen, Bogdan Adrian Manghiuc, He Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18207-18249

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18250-18268

A theory of continuous generative flow networks

Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-Garcı́a, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18269-18300

Automatically marginalized MCMC in probabilistic programming

Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18301-18318

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida Wang, Tao Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18319-18345

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18346-18364

FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation

Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18365-18398

Private Statistical Estimation of Many Quantiles

Clément Lalanne, Aurélien Garivier, Rémi Gribonval; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18399-18418

Bootstrap in High Dimension with Low Computation

Henry Lam, Zhenyuan Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18419-18453

LegendreTron: Uprising Proper Multiclass Loss Learning

Kevin H Lam, Christian Walder, Spiridon Penev, Richard Nock; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18454-18470

Metagenomic Binning using Connectivity-constrained Variational Autoencoders

Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18471-18481

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback

Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18482-18534

Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability

Robert Tjarko Lange, Henning Sprekeler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18535-18547

On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs

Romain Laroche, Remi Tachet Des Combes; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18548-18562

Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints

Alexandra Anna Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18563-18583

Speeding Up Bellman Ford via Minimum Violation Permutations

Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18584-18598

Who Needs to Know? Minimal Knowledge for Optimal Coordination

Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D Dennis, Stuart Russell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18599-18613

Target-based Surrogates for Stochastic Optimization

Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18614-18651

Cluster Explanation via Polyhedral Descriptions

Connor Lawless, Oktay Gunluk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18652-18666

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18667-18685

Bootstrapped Representations in Reinforcement Learning

Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18686-18713

Strategic Classification with Unknown User Manipulations

Tosca Lechner, Ruth Urner, Shai Ben-David; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18714-18732

Learning in POMDPs is Sample-Efficient with Hindsight Observability

Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18733-18773

Towards Deep Attention in Graph Neural Networks: Problems and Remedies

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18774-18795

InGram: Inductive Knowledge Graph Embedding via Relation Graphs

Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18796-18809

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18810-18851

Conditional Graph Information Bottleneck for Molecular Relational Learning

Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18852-18871

Exploring Chemical Space with Score-based Out-of-distribution Generation

Seul Lee, Jaehyeong Jo, Sung Ju Hwang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18872-18892

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18893-18912

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18913-18939

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis

Chaejeong Lee, Jayoung Kim, Noseong Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18940-18956

Minimizing Trajectory Curvature of ODE-based Generative Models

Sangyun Lee, Beomsu Kim, Jong Chul Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18957-18973

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features

Hangbin Lee, Youngjo Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18974-18987

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning

Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18988-19009

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19010-19035

QASA: Advanced Question Answering on Scientific Articles

Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19036-19052

Demystifying Disagreement-on-the-Line in High Dimensions

Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19053-19093

On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters

Wonyeol Lee, Sejun Park, Alex Aiken; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19094-19140

Implicit Jacobian regularization weighted with impurity of probability output

Sungyoon Lee, Jinseong Park, Jaewook Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19141-19184

Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments

Sang-Hyun Lee, Seung-Woo Seo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19185-19199

Generalization Analysis for Contrastive Representation Learning

Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19200-19227

Learning Control by Iterative Inversion

Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19228-19255

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference

Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault-Levasseur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19256-19273

Fast Inference from Transformers via Speculative Decoding

Yaniv Leviathan, Matan Kalman, Yossi Matias; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19274-19286

Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation

Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19287-19314

GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations

Dan Ley, Saumitra Mishra, Daniele Magazzeni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19315-19342

TIPS: Topologically Important Path Sampling for Anytime Neural Networks

Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19343-19359

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

Anqi Li, Byron Boots, Ching-An Cheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19360-19384

Internet Explorer: Targeted Representation Learning on the Open Web

Alexander Cong Li, Ellis Langham Brown, Alexei A Efros, Deepak Pathak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19385-19406

Prototype-oriented unsupervised anomaly detection for multivariate time series

Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19407-19424

Learning Preconditioners for Conjugate Gradient PDE Solvers

Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19425-19439

Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19440-19459

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation

Li’Ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19460-19470

FAIRER: Fairness as Decision Rationale Alignment

Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19471-19489

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19490-19503

Adversarial Collaborative Learning on Non-IID Features

Qinbin Li, Bingsheng He, Dawn Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19504-19526

Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints

Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19527-19564

Transformers as Algorithms: Generalization and Stability in In-context Learning

Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19565-19594

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Rui Li, S. T. John, Arno Solin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19595-19615

Local Vertex Colouring Graph Neural Networks

Shouheng Li, Dongwoo Kim, Qing Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19616-19637

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation

Xiaoyun Li, Ping Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19638-19688

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding

Yuchen Li, Yuanzhi Li, Andrej Risteski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19689-19729

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19730-19742

Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression

Junfan Li, Shizhong Liao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19743-19766

Revisiting Weighted Aggregation in Federated Learning with Neural Networks

Zexi Li, Tao Lin, Xinyi Shang, Chao Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19767-19788

Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction

Shaojie Li, Yong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19789-19810

Optimal Convergence Rates for Agnostic Nyström Kernel Learning

Jian Li, Yong Liu, Weiping Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19811-19836

Reconstructive Neuron Pruning for Backdoor Defense

Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19837-19854

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks

Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19855-19881

Deep Anomaly Detection under Labeling Budget Constraints

Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19882-19910

On the Initialization of Graph Neural Networks

Jiahang Li, Yakun Song, Xiang Song, David Wipf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19911-19931

Federated Adversarial Learning: A Framework with Convergence Analysis

Xiaoxiao Li, Zhao Song, Jiaming Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19932-19959

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?

Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19960-19981

Efficient Quantum Algorithms for Quantum Optimal Control

Xiantao Li, Chunhao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19982-19994

Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling

Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19995-20034

Hierarchical Diffusion for Offline Decision Making

Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20035-20064

Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions

Wanshan Li, Daren Wang, Alessandro Rinaldo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20065-20148

Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20149-20167

Learning Antidote Data to Individual Unfairness

Peizhao Li, Ethan Xia, Hongfu Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20168-20181

Propensity Matters: Measuring and Enhancing Balancing for Recommendation

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20182-20194

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks

Yuwen Li, Miao Xiong, Bryan Hooi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20195-20209

SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process

Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20210-20220

Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds

Shengshi Li, Lin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20221-20252

Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving

Weixin Li, Xiaodong Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20253-20275

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees

Pengfei Li, Jianyi Yang, Shaolei Ren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20276-20295

FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models

Songze Li, Duanyi Yao, Jin Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20296-20311

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints

Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20312-20335

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation

Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20336-20350

Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization

Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael Jordan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20351-20383

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations

Chao Li, Junhua Zeng, Chunmei Li, Cesar F Caiafa, Qibin Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20384-20411

Understanding the Complexity Gains of Single-Task RL with a Curriculum

Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20412-20451

Does a Neural Network Really Encode Symbolic Concepts?

Mingjie Li, Quanshi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20452-20469

Cooperative Open-ended Learning Framework for Zero-Shot Coordination

Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20470-20484

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators

Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20485-20528

Optimal Arms Identification with Knapsacks

Shaoang Li, Lan Zhang, Yingqi Yu, Xiangyang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20529-20555

Internally Rewarded Reinforcement Learning

Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20556-20574

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion

Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20575-20598

Structured Cooperative Learning with Graphical Model Priors

Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20599-20622

Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set

Enming Liang, Minghua Chen, Steven Low; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20623-20649

Consistency of Multiple Kernel Clustering

Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20650-20676

A Distribution Optimization Framework for Confidence Bounds of Risk Measures

Hao Liang, Zhi-Quan Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20677-20705

Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations

Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20706-20724

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20725-20745

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction

Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20746-20762

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20763-20786

CLUSTSEG: Clustering for Universal Segmentation

James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20787-20809

Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping

Ziyi Liang, Yanfei Zhou, Matteo Sesia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20810-20851

Less is More: Task-aware Layer-wise Distillation for Language Model Compression

Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20852-20867

Statistical Inference and A/B Testing for First-Price Pacing Equilibria

Luofeng Liao, Christian Kroer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20868-20905

Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization

Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20906-20938

Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization

Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20939-20949

Variational Open-Domain Question Answering

Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20950-20977

Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds

Yeqing Lin, Mohammed Alquraishi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20978-21002

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21003-21025

Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning

Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21026-21050

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21051-21064

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations

Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21065-21077

Theory on Forgetting and Generalization of Continual Learning

Sen Lin, Peizhong Ju, Yingbin Liang, Ness Shroff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21078-21100

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization

Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21101-21126

Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21127-21152

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models

Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba E. Ba; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21153-21181

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control

Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21182-21203

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features

Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21204-21222

Fair yet Asymptotically Equal Collaborative Learning

Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21223-21259

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction

Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21260-21287

Continuation Path Learning for Homotopy Optimization

Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21288-21311

Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary

Alexander Lindermayr, Nicole Megow, Martin Rapp; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21312-21334

Graph Mixup with Soft Alignments

Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21335-21349

Deep Graph Representation Learning and Optimization for Influence Maximization

Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21350-21361

Emergent Agentic Transformer from Chain of Hindsight Experience

Hao Liu, Pieter Abbeel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21362-21374

Shapley Based Residual Decomposition for Instance Analysis

Tommy Liu, Amanda S Barnard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21375-21387

Learning Representations without Compositional Assumptions

Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21388-21403

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting

Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21404-21425

Towards Constituting Mathematical Structures for Learning to Optimize

Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, Hanqin Cai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21426-21449

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D Plumbley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21450-21474

Identifiability of Label Noise Transition Matrix

Yang Liu, Hao Cheng, Kun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21475-21496

A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining

Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21497-21526

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy

Xing Liu, Andrew B. Duncan, Axel Gandy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21527-21547

Cones: Concept Neurons in Diffusion Models for Customized Generation

Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21548-21566

Opponent-Limited Online Search for Imperfect Information Games

Weiming Liu, Haobo Fu, Qiang Fu, Yang Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21567-21585

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21586-21610

Constrained Decision Transformer for Offline Safe Reinforcement Learning

Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21611-21630

Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer

Liang Liu, Yanan Guo, Youtao Zhang, Jun Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21631-21657

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21658-21671

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs

Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21672-21697

Online Local Differential Private Quantile Inference via Self-normalization

Yi Liu, Qirui Hu, Lei Ding, Linglong Kong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21698-21714

GFlowOut: Dropout with Generative Flow Networks

Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21715-21729

2D-Shapley: A Framework for Fragmented Data Valuation

Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21730-21755

Causal Structure Learning for Latent Intervened Non-stationary Data

Chenxi Liu, Kun Kuang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21756-21777

Structural Re-weighting Improves Graph Domain Adaptation

Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21778-21793

Dink-Net: Neural Clustering on Large Graphs

Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21794-21812

Oscillation-free Quantization for Low-bit Vision Transformers

Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21813-21824

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits

Xuejie Liu, Anji Liu, Guy Van Den Broeck, Yitao Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21825-21838

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity

Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21839-21866

Graph Switching Dynamical Systems

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21867-21883

High Probability Convergence of Stochastic Gradient Methods

Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21884-21914

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21915-21936

Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning

Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, D. Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21937-21950

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations

Zirui Liu, Chen Shengyuan, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21951-21968

Algorithms for bounding contribution for histogram estimation under user-level privacy

Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21969-21996

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning

Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21997-22008

Generating Private Synthetic Data with Genetic Algorithms

Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22009-22027

FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning

Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22028-22041

I$^2$SB: Image-to-Image Schrödinger Bridge

Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22042-22062

What can online reinforcement learning with function approximation benefit from general coverage conditions?

Fanghui Liu, Luca Viano, Volkan Cevher; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22063-22091

TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation

Zhaoyan Liu, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22092-22112

Global Optimization with Parametric Function Approximation

Chong Liu, Yu-Xiang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22113-22136

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22137-22176

Trapdoor Normalization with Irreversible Ownership Verification

Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22177-22187

Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models

Hong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22188-22214

Taxonomy-Structured Domain Adaptation

Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22215-22232

Dropout Reduces Underfitting

Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22233-22248

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning

Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22249-22265

Retrosynthetic Planning with Dual Value Networks

Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22266-22276

Online Nonstochastic Control with Adversarial and Static Constraints

Xin Liu, Zixian Yang, Lei Ying; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22277-22288

Optimization for Amortized Inverse Problems

Tianci Liu, Tong Yang, Quan Zhang, Qi Lei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22289-22319

Active Policy Improvement from Multiple Black-box Oracles

Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew Walter, Yuxin Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22320-22337

Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space

Weitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22338-22351

VectorMapNet: End-to-end Vectorized HD Map Learning

Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22352-22369

Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing

Xiangyu Liu, Kaiqing Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22370-22419

Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning

Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22420-22453

D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching

Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22454-22472

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Zhuoran Liu, Zhengyu Zhao, Martha Larson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22473-22487

Which Invariance Should We Transfer? A Causal Minimax Learning Approach

Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22488-22527

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q Weinberger; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22528-22538

N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

Zichuan Liu, Yuanyang Zhu, Chunlin Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22539-22558

Contextual Combinatorial Bandits with Probabilistically Triggered Arms

Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22559-22593

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning

Sam Lobel, Akhil Bagaria, George Konidaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22594-22613

Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries

Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22614-22630

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22631-22648

Dataset Distillation with Convexified Implicit Gradients

Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22649-22674

Reflected Diffusion Models

Aaron Lou, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22675-22701

Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective

David Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22702-22757

Bilevel Optimization with Coupled Decision-Dependent Distributions

Songtao Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22758-22789

Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective

Yulong Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22790-22811

STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition

Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22812-22824

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22825-22855

Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks

Yiwei Lu, Gautam Kamath, Yaoliang Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22856-22879

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark

Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22880-22898

Learning Dense Correspondences between Photos and Sketches

Xuanchen Lu, Xiaolong Wang, Judith E Fan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22899-22916

Adversarial Cheap Talk

Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22917-22941

Federated Conformal Predictors for Distributed Uncertainty Quantification

Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael Jordan, Ramesh Raskar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22942-22964

Mechanistic Mode Connectivity

Ekdeep Singh Lubana, Eric J Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22965-23004

A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions

Daniel Lundstrom, Meisam Razaviyayn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23005-23032

SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation

Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23033-23044

Image Restoration with Mean-Reverting Stochastic Differential Equations

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23045-23066

Dimensionality Reduction for General KDE Mode Finding

Xinyu Luo, Christopher Musco, Cas Widdershoven; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23067-23082

Iterative Approximate Cross-Validation

Yuetian Luo, Zhimei Ren, Rina Barber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23083-23102

A Closer Look at Few-shot Classification Again

Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23103-23123

HOPE: High-order Graph ODE For Modeling Interacting Dynamics

Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23124-23139

Stabilizing GANs’ Training with Brownian Motion Controller

Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23140-23156

OCD: Learning to Overfit with Conditional Diffusion Models

Shahar Lutati, Lior Wolf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23157-23169

DiscoBAX: Discovery of optimal intervention sets in genomic experiment design

Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23170-23189

Understanding Plasticity in Neural Networks

Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23190-23211

Bandits with Knapsacks: Advice on Time-Varying Demands

Lixing Lyu, Wang Chi Cheung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23212-23238

Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions

Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23239-23263

Which Tricks are Important for Learning to Rank?

Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23264-23278

Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics

Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23279-23300

LIV: Language-Image Representations and Rewards for Robotic Control

Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23301-23320

Graph Inductive Biases in Transformers without Message Passing

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23321-23337

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

Baorui Ma, Yu-Shen Liu, Zhizhong Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23338-23357

Learning Intuitive Policies Using Action Features

Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23358-23372

Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points

Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23373-23387

Buying Information for Stochastic Optimization

Mingchen Ma, Christos Tzamos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23388-23411

Generated Graph Detection

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23412-23428

Calibrating Multimodal Learning

Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23429-23450

AutoCoreset: An Automatic Practical Coreset Construction Framework

Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23451-23466

Learning GFlowNets From Partial Episodes For Improved Convergence And Stability

Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23467-23483

Applied Online Algorithms with Heterogeneous Predictors

Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23484-23497

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations

Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23498-23515

Vertical Federated Graph Neural Network for Recommender System

Peihua Mai, Yan Pang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23516-23535

Can Neural Network Memorization Be Localized?

Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23536-23557

Fundamental Tradeoffs in Learning with Prior Information

Anirudha Majumdar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23558-23573

Additive Causal Bandits with Unknown Graph

Alan Malek, Virginia Aglietti, Silvia Chiappa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23574-23589

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality

Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23590-23609

A Kernel-Based View of Language Model Fine-Tuning

Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23610-23641

Performative Reinforcement Learning

Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23642-23680

Differential Privacy has Bounded Impact on Fairness in Classification

Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23681-23705

Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice

Yishay Mansour, Richard Nock, Robert Williamson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23706-23742

$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates

Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23743-23802

Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23803-23828

Supported Trust Region Optimization for Offline Reinforcement Learning

Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23829-23851

Robust Perception through Equivariance

Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23852-23870

Reliable Measures of Spread in High Dimensional Latent Spaces

Anna Marbut, Katy Mckinney-Bock, Travis Wheeler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23871-23885

SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.

Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier Du Terrail, Arthur Pignet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23886-23914

Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal

Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23915-23936

Evaluating Unsupervised Denoising Requires Unsupervised Metrics

Adria Marcos Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter Crozier, Carlos Fernandez-Granda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23937-23957

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts

Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23958-24004

Analyzing Diffusion as Serial Reproduction

Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24005-24019

Quantized Distributed Training of Large Models with Convergence Guarantees

Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24020-24044

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification

Juan Maroñas, Daniel Hernández-Lobato; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24045-24081

Computational Asymmetries in Robust Classification

Samuele Marro, Michele Lombardi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24082-24138

Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective

Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24139-24172

Generative Pretraining for Black-Box Optimization

Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24173-24197

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation

Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24198-24213

Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry

Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24214-24235

Communication-Constrained Bandits under Additive Gaussian Noise

Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24236-24250

Nonparametric Density Estimation under Distribution Drift

Alessio Mazzetto, Eli Upfal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24251-24270

PAC-Bayesian Generalization Bounds for Adversarial Generative Models

Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24271-24290

Robustness in Multimodal Learning under Train-Test Modality Mismatch

Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24291-24303

A Model-free Closeness-of-influence Test for Features in Supervised Learning

Mohammad Mehrabi, Ryan A. Rossi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24304-24324

Stochastic Gradient Succeeds for Bandits

Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24325-24360

Normalizing Flows for Interventional Density Estimation

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24361-24397

Reprogramming Pretrained Language Models for Antibody Sequence Infilling

Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24398-24419

Superhuman Fairness

Omid Memarrast, Linh Vu, Brian D Ziebart; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24420-24435

A Model-Based Method for Minimizing CVaR and Beyond

Si Yi Meng, Robert M. Gower; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24436-24456

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24457-24477

On Preemption and Learning in Stochastic Scheduling

Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24478-24516

Quantile Credit Assignment

Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24517-24531

Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?

Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander Gasnikov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24532-24554

Towards Theoretical Understanding of Inverse Reinforcement Learning

Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24555-24591

Quantum Policy Gradient Algorithm with Optimized Action Decoding

Nico Meyer, Daniel Scherer, Axel Plinge, Christopher Mutschler, Michael Hartmann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24592-24613

Training Deep Surrogate Models with Large Scale Online Learning

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribes, Bruno Raffin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24614-24630

MANSA: Learning Fast and Slow in Multi-Agent Systems

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24631-24658

Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL

Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24659-24700

Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function

Elissa Mhanna, Mohamad Assaad; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24701-24719

Learning Instance-Specific Augmentations by Capturing Local Invariances

Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24720-24736

Path Neural Networks: Expressive and Accurate Graph Neural Networks

Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24737-24755

Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning

Thomas Miconi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24756-24774

Generative Decoding of Visual Stimuli

Eleni Miliotou, Panagiotis Kyriakis, Jason D Hinman, Andrei Irimia, Paul Bogdan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24775-24784

Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24785-24811

Directed Chain Generative Adversarial Networks

Ming Min, Ruimeng Hu, Tomoyuki Ichiba; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24812-24830

An Information-Theoretic Analysis of Nonstationary Bandit Learning

Seungki Min, Daniel Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24831-24849

On the Convergence of Gradient Flow on Multi-layer Linear Models

Hancheng Min, Rene Vidal, Enrique Mallada; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24850-24887

Optimal Sets and Solution Paths of ReLU Networks

Aaron Mishkin, Mert Pilanci; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24888-24924

The Numerical Stability of Hyperbolic Representation Learning

Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24925-24949

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24950-24962

Diffusion Based Representation Learning

Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24963-24982

Disentangled Multiplex Graph Representation Learning

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24983-25005

A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition

Shentong Mo, Pedro Morgado; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25006-25017

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25018-25036

Text-To-Concept (and Back) via Cross-Model Alignment

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25037-25060

A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel

Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25061-25081

Special Properties of Gradient Descent with Large Learning Rates

Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25082-25104

Neural Inverse Operators for Solving PDE Inverse Problems

Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25105-25139

Input uncertainty propagation through trained neural networks

Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25140-25173

Compressing Tabular Data via Latent Variable Estimation

Andrea Montanari, Eric Weiner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25174-25208

An SDE for Modeling SAM: Theory and Insights

Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurelien Lucchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25209-25253

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25254-25274

WL meet VC

Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25275-25302

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs

Ted Moskovitz, Brendan O’Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25303-25336

Optimistic Planning by Regularized Dynamic Programming

Antoine Moulin, Gergely Neu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25337-25357

Neural signature kernels as infinite-width-depth-limits of controlled ResNets

Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25358-25425

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models

Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25426-25443

PFNs4BO: In-Context Learning for Bayesian Optimization

Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25444-25470

Achieving High Accuracy with PINNs via Energy Natural Gradient Descent

Johannes Müller, Marius Zeinhofer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25471-25485

Uncertain Evidence in Probabilistic Models and Stochastic Simulators

Andreas Munk, Alexander Mead, Frank Wood; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25486-25500

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25501-25522

DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning

Tomoya Murata, Taiji Suzuki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25523-25548

Efficiently predicting high resolution mass spectra with graph neural networks

Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25549-25562

Dynamical Linear Bandits

Marco Mussi, Alberto Maria Metelli, Marcello Restelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25563-25587

Representation-Driven Reinforcement Learning

Ofir Nabati, Guy Tennenholtz, Shie Mannor; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25588-25603

DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization

Adel Nabli, Edouard Oyallon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25604-25626

Multi-User Reinforcement Learning with Low Rank Rewards

Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25627-25659

Statistical Foundations of Prior-Data Fitted Networks

Thomas Nagler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25660-25676

Do Machine Learning Models Learn Statistical Rules Inferred from Data?

Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25677-25693

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation

Ilan Naiman, Nimrod Berman, Omri Azencot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25694-25717

Effectively Using Public Data in Privacy Preserving Machine Learning

Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25718-25732

Counterfactual Identifiability of Bijective Causal Models

Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25733-25754

Discovering Object-Centric Generalized Value Functions From Pixels

Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25755-25768

On Many-Actions Policy Gradient

Michal Nauman, Marek Cygan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25769-25789

Equivariant Architectures for Learning in Deep Weight Spaces

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25790-25816

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25817-25833

Geometric Autoencoders - What You See is What You Decode

Philipp Nazari, Sebastian Damrich, Fred A Hamprecht; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25834-25857

Action Matching: Learning Stochastic Dynamics from Samples

Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25858-25889

Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains

Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M Halappanavar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25890-25903

ClimaX: A foundation model for weather and climate

Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25904-25938

Provable Reset-free Reinforcement Learning by No-Regret Reduction

Hoai-An Nguyen, Ching-An Cheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25939-25955

Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature

Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25956-25979

Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach

Tri Nguyen, Shahana Ibrahim, Xiao Fu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25980-26007

Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction

Khai Nguyen, Dang Nguyen, Nhat Ho; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26008-26030

Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach

Xuan Son Nguyen, Shuo Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26031-26062

Simple Disentanglement of Style and Content in Visual Representations

Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26063-26086

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26087-26105

LEVER: Learning to Verify Language-to-Code Generation with Execution

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida Wang, Xi Victoria Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26106-26128

Continual Vision-Language Representation Learning with Off-Diagonal Information

Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26129-26149

Attributing Image Generative Models using Latent Fingerprints

Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26150-26165

A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback

Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26166-26198

SinFusion: Training Diffusion Models on a Single Image or Video

Yaniv Nikankin, Niv Haim, Michal Irani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26199-26214

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26215-26227

Anti-Exploration by Random Network Distillation

Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26228-26244

Input Perturbation Reduces Exposure Bias in Diffusion Models

Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26245-26265

Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems

Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26266-26282

The Statistical Scope of Multicalibration

Georgy Noarov, Aaron Roth; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26283-26310

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling

Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26311-26325

Gradient-Free Structured Pruning with Unlabeled Data

Azade Nova, Hanjun Dai, Dale Schuurmans; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26326-26341

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26342-26362

Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction

Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan Oseledets; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26363-26381

Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization

Brendan O’Donoghue; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26382-26402

Provable Benefit of Mixup for Finding Optimal Decision Boundaries

Junsoo Oh, Chulhee Yun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26403-26450

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances

Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26451-26473

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26474-26494

On the Within-Group Fairness of Screening Classifiers

Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26495-26516

Diffusion Models are Minimax Optimal Distribution Estimators

Kazusato Oko, Shunta Akiyama, Taiji Suzuki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26517-26582

How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy

Raphael Olivier, Bhiksha Raj; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26583-26598

B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26599-26618

Measuring the Impact of Programming Language Distribution

Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26619-26645

When does Privileged information Explain Away Label Noise?

Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D’Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26646-26669

Resurrecting Recurrent Neural Networks for Long Sequences

Antonio Orvieto, Samuel L Smith, Albert Gu, Anushan Fernando, Caglar Gulcehre, Razvan Pascanu, Soham De; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26670-26698

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process

Yidong Ouyang, Liyan Xie, Guang Cheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26699-26723

On the Role of Attention in Prompt-tuning

Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26724-26768

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation

Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26769-26791

Extrapolative Controlled Sequence Generation via Iterative Refinement

Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P Parikh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26792-26808

Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!

Avik Pal, Alan Edelman, Christopher Vincent Rackauckas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26809-26819

Controlled Differential Equations on Long Sequences via Non-standard Wavelets

Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26820-26836

Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark

Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26837-26867

Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering

Erlin Pan, Zhao Kang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26868-26877

Better Training of GFlowNets with Local Credit and Incomplete Trajectories

Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26878-26890

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer

Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26891-26903

Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26904-26930

Flash: Concept Drift Adaptation in Federated Learning

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26931-26962

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

Deep Shankar Pandey, Qi Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26963-26989

Secure Federated Correlation Test and Entropy Estimation

Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26990-27010

Task-Specific Skill Localization in Fine-tuned Language Models

Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27011-27033

Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Junyoung Park, Jeongyoun Ahn, Cheolwoo Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27034-27047

Learning Affinity with Hyperbolic Representation for Spatial Propagation

Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27048-27073

TRAK: Attributing Model Behavior at Scale

Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27074-27113

Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization

Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27114-27131

Towards Understanding Ensemble Distillation in Federated Learning

Sejun Park, Kihun Hong, Ganguk Hwang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27132-27187

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27188-27203

Differentially Private Sharpness-Aware Training

Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27204-27224

Controllability-Aware Unsupervised Skill Discovery

Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27225-27245

Predictable MDP Abstraction for Unsupervised Model-Based RL

Seohong Park, Sergey Levine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27246-27268

Neural Stochastic Differential Games for Time-series Analysis

Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27269-27293

Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations

Jisun Park, Ernest K. Ryu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27294-27345

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators

Paavo Parmas, Takuma Seno, Yuma Aoki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27346-27377

PAC Generalization via Invariant Representations

Advait U Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27378-27400

Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network

Farhad Pashakhanloo, Alexei Koulakov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27401-27419

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Saro Passaro, C. Lawrence Zitnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27420-27438

Federated Online and Bandit Convex Optimization

Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27439-27460

Brauer’s Group Equivariant Neural Networks

Edward Pearce-Crump; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27461-27482

How Jellyfish Characterise Alternating Group Equivariant Neural Networks

Edward Pearce-Crump; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27483-27495

Can Large Language Models Reason about Program Invariants?

Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27496-27520