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Volume 151: International Conference on Artificial Intelligence and Statistics, 28-30 March 2022, A Virtual Conference

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Editors: Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera

[bib][citeproc]

Cross-Loss Influence Functions to Explain Deep Network Representations

Andrew Silva, Rohit Chopra, Matthew Gombolay; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1-17

Federated Reinforcement Learning with Environment Heterogeneity

Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:18-37

On Linear Model with Markov Signal Priors

Lan V. Truong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:38-53

Maillard Sampling: Boltzmann Exploration Done Optimally

Jie Bian, Kwang-Sung Jun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:54-72

Norm-Agnostic Linear Bandits

Spencer B. Gales, Sunder Sethuraman, Kwang-Sung Jun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:73-91

Gaussian Process Bandit Optimization with Few Batches

Zihan Li, Jonathan Scarlett; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:92-107

Approximate Function Evaluation via Multi-Armed Bandits

Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:108-135

Unlabeled Data Help: Minimax Analysis and Adversarial Robustness

Yue Xing, Qifan Song, Guang Cheng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:136-168

System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy

Hyun-Suk Lee; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:169-187

Deep Layer-wise Networks Have Closed-Form Weights

Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer Dy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:188-225

Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates

Oliver Cobb, Arnaud Van Looveren, Janis Klaise; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:226-239

Neural Contextual Bandits without Regret

Parnian Kassraie, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:240-278

SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums

Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:279-318

Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods

Baturalp Yalçın, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:319-341

k-experts - Online Policies and Fundamental Limits

Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:342-365

Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity

Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:366-402

Multi-armed Bandit Algorithm against Strategic Replication

Suho Shin, Seungjoon Lee, Jungseul Ok; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:403-431

Gap-Dependent Bounds for Two-Player Markov Games

Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon Du; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:432-455

Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits

Aadirupa Saha, Suprovat Ghoshal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:456-482

Exploring Image Regions Not Well Encoded by an INN

Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:483-509

Finding Dynamics Preserving Adversarial Winning Tickets

Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:510-528

Being a Bit Frequentist Improves Bayesian Neural Networks

Agustinus Kristiadi, Matthias Hein, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:529-545

Jointly Efficient and Optimal Algorithms for Logistic Bandits

Louis Faury, Marc Abeille, Kwang-Sung Jun, Clement Calauzenes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:546-580

Obtaining Causal Information by Merging Datasets with MAXENT

Sergio H. Garrido Mejia, Elke Kirschbaum, Dominik Janzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:581-603

Distributed Sparse Multicategory Discriminant Analysis

Hengchao Chen, Qiang Sun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:604-624

Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations

Nicholas Krämer, Jonathan Schmidt, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:625-639

A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy

Kevin Bello, Chuyang Ke, Jean Honorio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:640-654

Marginalized Operators for Off-policy Reinforcement Learning

Yunhao Tang, Mark Rowland, Remi Munos, Michal Valko; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:655-679

Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning

Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:680-720

Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations

Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:721-738

Causally motivated shortcut removal using auxiliary labels

Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D’Amour; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:739-766

Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback

Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:767-797

Identity Testing of Reversible Markov Chains

Sela Fried, Geoffrey Wolfer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:798-817

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data

Or Dinari, Oren Freifeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:818-835

A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning

Youssef Diouane, Aurelien Lucchi, Vihang Prakash Patil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:836-859

Adaptively Partitioning Max-Affine Estimators for Convex Regression

Gábor Balázs; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:860-874

Variational Marginal Particle Filters

Jinlin Lai, Justin Domke, Daniel Sheldon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:875-895

On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms

Nhat Ho, Tianyi Lin, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:896-921

Robustness and Reliability When Training With Noisy Labels

Amanda Olmin, Fredrik Lindsten; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:922-942

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap

Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, Francois-Xavier Briol; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:943-970

A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits

Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:971-990

Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation

Anas Barakat, Pascal Bianchi, Julien Lehmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:991-1040

Policy Learning and Evaluation with Randomized Quasi-Monte Carlo

Sébastien M. R. Arnold, Pierre L’Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1041-1061

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback

Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1062-1077

Multiway Spherical Clustering via Degree-Corrected Tensor Block Models

Jiaxin Hu, Miaoyan Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1078-1119

Fixed Support Tree-Sliced Wasserstein Barycenter

Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1120-1137

k-Pareto Optimality-Based Sorting with Maximization of Choice

Jean Ruppert, Marharyta Aleksandrova, Thomas Engel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1138-1160

Towards Return Parity in Markov Decision Processes

Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1161-1178

Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise

Vivek Farias, Andrew A. Li, Tianyi Peng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1179-1189

Survival regression with proper scoring rules and monotonic neural networks

David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1190-1205

Physics Informed Deep Kernel Learning

Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1206-1218

Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization

Yaodong Yu, Tianyi Lin, Eric V. Mazumdar, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1219-1250

Heavy-tailed Streaming Statistical Estimation

Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1251-1282

On Distributionally Robust Optimization and Data Rebalancing

Agnieszka Słowik, Leon Bottou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1283-1297

Spiked Covariance Estimation from Modulo-Reduced Measurements

Elad Romanov, Or Ordentlich; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1298-1320

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows

Pedro Cisneros-Velarde, Francesco Bullo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1321-1335

Robust Probabilistic Time Series Forecasting

Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1336-1358

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition

Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1359-1379

Implicitly Regularized RL with Implicit Q-values

Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1380-1402

A Witness Two-Sample Test

Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1403-1419

Sample-and-threshold differential privacy: Histograms and applications

Graham Cormode, Akash Bharadwaj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1420-1431

Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution

Vlad Winter, Or Dinari, Oren Freifeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1432-1456

A Complete Characterisation of ReLU-Invariant Distributions

Jan Macdonald, Stephan Wäldchen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1457-1484

Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations

Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1485-1502

Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference

Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike Von Luxburg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1503-1526

Equivariance Discovery by Learned Parameter-Sharing

Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander Schwing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1527-1545

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits

Youming Tao, Yulian Wu, Peng Zhao, Di Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1546-1574

Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit

Wenkai Xu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1575-1597

Parametric Bootstrap for Differentially Private Confidence Intervals

Cecilia Ferrando, Shufan Wang, Daniel Sheldon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1598-1618

Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport

Alex Delalande; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1619-1642

Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection

Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1643-1654

Online Page Migration with ML Advice

Piotr Indyk, Frederik Mallmann-Trenn, Slobodan Mitrovic, Ronitt Rubinfeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1655-1670

Policy Learning for Optimal Individualized Dose Intervals

Guanhua Chen, Xiaomao Li, Menggang Yu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1671-1693

Deep Multi-Fidelity Active Learning of High-Dimensional Outputs

Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1694-1711

Online Learning for Unknown Partially Observable MDPs

Mehdi Jafarnia Jahromi, Rahul Jain, Ashutosh Nayyar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1712-1732

Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?

Lisha Chen, Tianyi Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1733-1774

A Bayesian Model for Online Activity Sample Sizes

Thomas S. Richardson, Yu Liu, James Mcqueen, Doug Hains; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1775-1785

Parallel MCMC Without Embarrassing Failures

Daniel A. De Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1786-1804

Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond

Dheeraj Baby, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1805-1845

Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1846-1870

Spectral risk-based learning using unbounded losses

Matthew J. Holland, El Mehdi Haress; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1871-1886

A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization

Donghao Ying, Yuhao Ding, Javad Lavaei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1887-1909

On the Global Optimum Convergence of Momentum-based Policy Gradient

Yuhao Ding, Junzi Zhang, Javad Lavaei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1910-1934

Feature screening with kernel knockoffs

Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1935-1974

Bias-Variance Decompositions for Margin Losses

Danny Wood, Tingting Mu, Gavin Brown; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1975-2001

Grassmann Stein Variational Gradient Descent

Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew Duncan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2002-2021

Nonstochastic Bandits and Experts with Arm-Dependent Delays

Dirk Van Der Hoeven, Nicolò Cesa-Bianchi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2022-2044

Improved analysis of randomized SVD for top-eigenvector approximation

Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, Chi-Jen Lu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2045-2072

p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets

Alexander Munteanu, Simon Omlor, Christian Peters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2073-2100

Non-stationary Online Learning with Memory and Non-stochastic Control

Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2101-2133

Dimensionality Reduction and Prioritized Exploration for Policy Search

Marius Memmel, Puze Liu, Davide Tateo, Jan Peters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2134-2157

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?

Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2158-2172

Improving Attribution Methods by Learning Submodular Functions

Piyushi Manupriya, Tarun Ram Menta, Sakethanath N. Jagarlapudi, Vineeth N. Balasubramanian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2173-2190

Conditional Gradients for the Approximately Vanishing Ideal

Elias S. Wirth, Sebastian Pokutta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2191-2209

Efficient Algorithms for Extreme Bandits

Dorian Baudry, Yoan Russac, Emilie Kaufmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2210-2248

Rejection sampling from shape-constrained distributions in sublinear time

Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2249-2265

Learning Inconsistent Preferences with Gaussian Processes

Siu Lun Chau, Javier Gonzalez, Dino Sejdinovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2266-2281

Bayesian Classifier Fusion with an Explicit Model of Correlation

Susanne Trick, Constantin Rothkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2282-2310

Conditionally Gaussian PAC-Bayes

Eugenio Clerico, George Deligiannidis, Arnaud Doucet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2311-2329

Leveraging Time Irreversibility with Order-Contrastive Pre-training

Monica N. Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David Sontag; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2330-2353

Moment Matching Deep Contrastive Latent Variable Models

Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2354-2371

Unifying Importance Based Regularisation Methods for Continual Learning

Frederik Benzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2372-2396

Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown

Adrian Rivera Cardoso, Ryan Rogers; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2397-2419

Confident Least Square Value Iteration with Local Access to a Simulator

Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2420-2435

Safe Optimal Design with Applications in Off-Policy Learning

Ruihao Zhu, Branislav Kveton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2436-2447

Accurate Shapley Values for explaining tree-based models

Salim I. Amoukou, Tangi Salaün, Nicolas Brunel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2448-2465

A Single-Timescale Method for Stochastic Bilevel Optimization

Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2466-2488

Strategic ranking

Lydia T. Liu, Nikhil Garg, Christian Borgs; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2489-2518

Encrypted Linear Contextual Bandit

Evrard Garcelon, Matteo Pirotta, Vianney Perchet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2519-2551

Density Ratio Estimation via Infinitesimal Classification

Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2552-2573

AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning

Jihun Yun, Aurelie Lozano, Eunho Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2574-2606

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion

Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2607-2617

Pairwise Supervision Can Provably Elicit a Decision Boundary

Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2618-2640

An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization

Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2641-2657

On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction

Jiawei Huang, Nan Jiang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2658-2705

Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function

Oliver E. Richardson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2706-2735

Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games

Yulai Zhao, Yuandong Tian, Jason Lee, Simon Du; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2736-2761

One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation

Hajime Ono, Kazuhiro Minami, Hideitsu Hino; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2762-2783

Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably

Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2784-2802

Robust Deep Learning from Crowds with Belief Propagation

Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2803-2822

Sampling from Arbitrary Functions via PSD Models

Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2823-2861

Uncertainty Quantification for Bayesian Optimization

Rui Tuo, Wenjia Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2862-2884

Metalearning Linear Bandits by Prior Update

Amit Peleg, Naama Pearl, Ron Meir; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2885-2926

Fast Rank-1 NMF for Missing Data with KL Divergence

Kazu Ghalamkari, Mahito Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2927-2940

Randomized Stochastic Gradient Descent Ascent

Othmane Sebbouh, Marco Cuturi, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2941-2969

Aligned Multi-Task Gaussian Process

Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2970-2988

Generative Models as Distributions of Functions

Emilien Dupont, Yee Whye Teh, Arnaud Doucet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2989-3015

ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification

Lukas Fromme, Jasmina Bogojeska, Jonas Kuhn; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3016-3027

Super-Acceleration with Cyclical Step-sizes

Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3028-3065

On PAC-Bayesian reconstruction guarantees for VAEs

Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3066-3079

MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption

Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3080-3090

Random Effect Bandits

Rong Zhu, Branislav Kveton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3091-3107

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

Matti Karppa, Martin Aumüller, Rasmus Pagh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3108-3137

Embedded Ensembles: infinite width limit and operating regimes

Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3138-3163

State Dependent Performative Prediction with Stochastic Approximation

Qiang Li, Hoi-To Wai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3164-3186

Reward-Free Policy Space Compression for Reinforcement Learning

Mirco Mutti, Stefano Del Col, Marcello Restelli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3187-3203

Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures

Matias Altamirano, Felipe Tobar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3204-3218

Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines

Souhaib Ben Taieb; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3219-3241

Differentially Private Regression with Unbounded Covariates

Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3242-3273

Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation

Honghao Wei, Xin Liu, Lei Ying; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3274-3307

Measuring the robustness of Gaussian processes to kernel choice

William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer Deshpande, Tamara Broderick; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3308-3331

A general sample complexity analysis of vanilla policy gradient

Rui Yuan, Robert M. Gower, Alessandro Lazaric; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3332-3380

Pairwise Fairness for Ordinal Regression

Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3381-3417

LIMESegment: Meaningful, Realistic Time Series Explanations

Torty Sivill, Peter Flach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3418-3433

A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions

Ben Adlam, Jake A. Levinson, Jeffrey Pennington; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3434-3457

Spectral Pruning for Recurrent Neural Networks

Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3458-3482

Many processors, little time: MCMC for partitions via optimal transport couplings

Tin D. Nguyen, Brian L. Trippe, Tamara Broderick; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3483-3514

Sinkformers: Transformers with Doubly Stochastic Attention

Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3515-3530

Finding Nearly Everything within Random Binary Networks

Kartik Sreenivasan, Shashank Rajput, Jy-Yong Sohn, Dimitris Papailiopoulos; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3531-3541

Last Layer Marginal Likelihood for Invariance Learning

Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark Van Der Wilk; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3542-3555

Minimax Optimization: The Case of Convex-Submodular

Arman Adibi, Aryan Mokhtari, Hamed Hassani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3556-3580

Federated Learning with Buffered Asynchronous Aggregation

John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3581-3607

Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding

Jiajing Zheng, Alexander D’Amour, Alexander Franks; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3608-3626

Deep Neyman-Scott Processes

Chengkuan Hong, Christian Shelton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3627-3646

CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models

Yirui Liu, Xinghao Qiao, Jessica Lam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3647-3662

Certifiably Robust Variational Autoencoders

Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3663-3683

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums

Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3684-3708

On Margins and Derandomisation in PAC-Bayes

Felix Biggs, Benjamin Guedj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3709-3731

A Spectral Perspective of DNN Robustness to Label Noise

Oshrat Bar, Amnon Drory, Raja Giryes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3732-3752

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization

Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3753-3771

Computing D-Stationary Points of $ρ$-Margin Loss SVM

Lai Tian, Anthony Man-Cho So; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3772-3793

A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality

Xuhui Zhang, Jose Blanchet, Soumyadip Ghosh, Mark S. Squillante; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3794-3820

An Information-Theoretic Justification for Model Pruning

Berivan Isik, Tsachy Weissman, Albert No; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3821-3846

Flexible Accuracy for Differential Privacy

Aman Bansal, Rahul Chunduru, Deepesh Data, Manoj Prabhakaran; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3847-3882

Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation

Yue Wu, Dongruo Zhou, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3883-3913

On Facility Location Problem in the Local Differential Privacy Model

Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan, Marco Gaboradi, Shi Li, Di Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3914-3929

Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent

Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3930-3961

MLDemon:Deployment Monitoring for Machine Learning Systems

Tony Ginart, Martin Jinye Zhang, James Zou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3962-3997

How to Learn when Data Gradually Reacts to Your Model

Zachary Izzo, James Zou, Lexing Ying; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3998-4035

Mitigating Bias in Calibration Error Estimation

Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4036-4054

Privacy Amplification by Subsampling in Time Domain

Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4055-4069

How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization

Shivam Garg, Santosh Vempala; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4070-4108

Gap-Dependent Unsupervised Exploration for Reinforcement Learning

Jingfeng Wu, Vladimir Braverman, Lin Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4109-4131

On the Generalization of Representations in Reinforcement Learning

Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4132-4157

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects

Yao Zhang, Jeroen Berrevoets, Mihaela Van Der Schaar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4158-4177

Learning a Single Neuron for Non-monotonic Activation Functions

Lei Wu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4178-4197

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis

Jiaye Teng, Weiran Huang, Haowei He; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4198-4216

Model-free Policy Learning with Reward Gradients

Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4217-4234

Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes

Zhiyuan Jerry Lin, Raul Astudillo, Peter Frazier, Eytan Bakshy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4235-4258

Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs

Jiafan He, Dongruo Zhou, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4259-4280

Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization

Kiran K. Thekumparampil, Niao He, Sewoong Oh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4281-4308

Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients

Fan Wang, Oscar Madrid, Yi Yu, Alessandro Rinaldo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4309-4338

Optimal partition recovery in general graphs

Yi Yu, Oscar Madrid, Alessandro Rinaldo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4339-4358

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization

Jungtaek Kim, Seungjin Choi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4359-4375

Offline Policy Selection under Uncertainty

Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4376-4396

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity

Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4397-4413

Independent Natural Policy Gradient always converges in Markov Potential Games

Roy Fox, Stephen M. Mcaleer, Will Overman, Ioannis Panageas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4414-4425

Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness

Beomsu Kim, Junghoon Seo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4426-4445

Projection Predictive Inference for Generalized Linear and Additive Multilevel Models

Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4446-4461

Point Cloud Generation with Continuous Conditioning

Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, Marius Zöllner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4462-4481

An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints

Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4482-4498

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Ana Lucic, Maartje A. Ter Hoeve, Gabriele Tolomei, Maarten De Rijke, Fabrizio Silvestri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4499-4511

Safe Active Learning for Multi-Output Gaussian Processes

Cen-You Li, Barbara Rakitsch, Christoph Zimmer; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4512-4551

Variational Continual Proxy-Anchor for Deep Metric Learning

Minyoung Kim, Ricardo Guerrero, Hai X. Pham, Vladimir Pavlovic; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4552-4573

Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis

Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4574-4594

Variational Autoencoders: A Harmonic Perspective

Alexander Camuto, Matthew Willetts; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4595-4611

On the Consistency of Max-Margin Losses

Alex Nowak, Alessandro Rudi, Francis Bach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4612-4633

A prior-based approximate latent Riemannian metric

Georgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4634-4658

On Convergence of Lookahead in Smooth Games

Junsoo Ha, Gunhee Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4659-4684

Learning Proposals for Practical Energy-Based Regression

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4685-4704

Predicting the impact of treatments over time with uncertainty aware neural differential equations.

Edward De Brouwer, Javier Gonzalez, Stephanie Hyland; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4705-4722

Improved Algorithms for Misspecified Linear Markov Decision Processes

Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R Srikant; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4723-4746

Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data

Max Baak, Simon Brugman, Ilan Fridman Rojas, Lorraine Dalmeida, Ralph E.Q. Urlus, Jean-Baptiste Oger; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4747-4763

Lagrangian manifold Monte Carlo on Monge patches

Marcelo Hartmann, Mark Girolami, Arto Klami; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4764-4781

Optimal Accounting of Differential Privacy via Characteristic Function

Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4782-4817

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets

Felix Opolka, Yin-Cong Zhi, Pietro Lió, Xiaowen Dong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4818-4834

Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes

Felix Opolka, Pietro Lió; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4835-4852

On the Interplay between Information Loss and Operation Loss in Representations for Classification

Jorge Silva, Felipe Tobar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4853-4871

Pulling back information geometry

Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitrios Kalatzis, Soren Hauberg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4872-4894

Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint

Preetish Rath, Michael Hughes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4895-4914

Resampling Base Distributions of Normalizing Flows

Vincent Stimper, Bernhard Schölkopf, Jose Miguel Hernandez-Lobato; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4915-4936

Federated Myopic Community Detection with One-shot Communication

Chuyang Ke, Jean Honorio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4937-4954

Variational Gaussian Processes: A Functional Analysis View

George Wynne, Veit Wild; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4955-4971

Adversarially Robust Kernel Smoothing

Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4972-4994

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe

Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4995-5021

Off-Policy Risk Assessment for Markov Decision Processes

Audrey Huang, Liu Leqi, Zachary Lipton, Kamyar Azizzadenesheli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5022-5050

Predictive variational Bayesian inference as risk-seeking optimization

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5051-5083

Kantorovich Mechanism for Pufferfish Privacy

Ni Ding; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5084-5103

Margin-distancing for safe model explanation

Tom Yan, Chicheng Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5104-5134

Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithm

Dávid Terjék, Diego González-Sánchez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5135-5165

Modelling Non-Smooth Signals with Complex Spectral Structure

Wessel P. Bruinsma, Martin Tegnér, Richard E. Turner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5166-5195

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers

Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5196-5211

Particle-based Adversarial Local Distribution Regularization

Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5212-5224

Crowdsourcing Regression: A Spectral Approach

Yaniv Tenzer, Omer Dror, Boaz Nadler, Erhan Bilal, Yuval Kluger; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5225-5242

How to scale hyperparameters for quickshift image segmentation

Damien Garreau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5243-5275

Wide Mean-Field Bayesian Neural Networks Ignore the Data

Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5276-5333

Privacy Amplification by Decentralization

Edwige Cyffers, Aurélien Bellet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5334-5353

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5354-5390

New Coresets for Projective Clustering and Applications

Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5391-5415

Weak Separation in Mixture Models and Implications for Principal Stratification

Nhat Ho, Avi Feller, Evan Greif, Luke Miratrix, Natesh Pillai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5416-5458

Using time-series privileged information for provably efficient learning of prediction models

Rickard K.A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David Sontag, Fredrik Johansson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5459-5484

Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity

Junchi Yang, Antonio Orvieto, Aurelien Lucchi, Niao He; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5485-5517

TD-GEN: Graph Generation Using Tree Decomposition

Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5518-5537

Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge

Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5538-5562

SHAFF: Fast and consistent SHApley eFfect estimates via random Forests

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5563-5582

Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions

Vibhor Porwal, Piyush Srivastava, Gaurav Sinha; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5583-5603

Estimators of Entropy and Information via Inference in Probabilistic Models

Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5604-5621

Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE

Yuqing Zhu, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5622-5635

Fast and accurate optimization on the orthogonal manifold without retraction

Pierre Ablin, Gabriel Peyré; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5636-5657

Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms

Romain Laroche, Remi Tachet Des Combes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5658-5688

Efficient Kernelized UCB for Contextual Bandits

Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5689-5720

Acceleration in Distributed Optimization under Similarity

Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5721-5756

Corruption-robust Offline Reinforcement Learning

Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5757-5773

A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning

Alix Lheritier, Nicolas Bondoux; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5774-5789

Orbital MCMC

Kirill Neklyudov, Max Welling; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5790-5814

PAC Mode Estimation using PPR Martingale Confidence Sequences

Shubham Anand Jain, Rohan Shah, Sanit Gupta, Denil Mehta, Inderjeet J. Nair, Jian Vora, Sushil Khyalia, Sourav Das, Vinay J. Ribeiro, Shivaram Kalyanakrishnan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5815-5852

Harmless interpolation in regression and classification with structured features

Andrew D. Mcrae, Santhosh Karnik, Mark Davenport, Vidya K. Muthukumar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5853-5875

Masked Training of Neural Networks with Partial Gradients

Amirkeivan Mohtashami, Martin Jaggi, Sebastian Stich; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5876-5890

Learning in Stochastic Monotone Games with Decision-Dependent Data

Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian Ratliff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5891-5912

On Combining Bags to Better Learn from Label Proportions

Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5913-5927

Meta Learning MDPs with linear transition models

Robert Müller, Aldo Pacchiano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5928-5948

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals

James Brofos, Marylou Gabrie, Marcus A. Brubaker, Roy R. Lederman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5949-5986

Permutation Equivariant Layers for Higher Order Interactions

Horace Pan, Risi Kondor; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5987-6001

Efficient Online Bayesian Inference for Neural Bandits

Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6002-6021

Parameter-Free Online Linear Optimization with Side Information via Universal Coin Betting

Jongha J. Ryu, Alankrita Bhatt, Young-Han Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6022-6044

Performative Prediction in a Stateful World

Gavin Brown, Shlomi Hod, Iden Kalemaj; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6045-6061

Learning Revenue-Maximizing Auctions With Differentiable Matching

Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6062-6073

Orthogonal Multi-Manifold Enriching of Directed Networks

Ramit Sawhney, Shivam Agarwal, Atula T. Neerkaje, Kapil Jayesh Pathak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6074-6086

Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression

Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6087-6120

The Tree Loss: Improving Generalization with Many Classes

Yujie Wang, Mike Izbicki; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6121-6133

Double Control Variates for Gradient Estimation in Discrete Latent Variable Models

Michalis Titsias, Jiaxin Shi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6134-6151

Transfer Learning with Gaussian Processes for Bayesian Optimization

Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6152-6181

Conditional Linear Regression for Heterogeneous Covariances

Leda Liang, Brendan Juba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6182-6199

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback

Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael Jordan, Ion Stoica; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6200-6224

Node Feature Kernels Increase Graph Convolutional Network Robustness

Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6225-6241

Top K Ranking for Multi-Armed Bandit with Noisy Evaluations

Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6242-6269

Differential privacy for symmetric log-concave mechanisms

Staal A. Vinterbo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6270-6291

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization

Yujia Wang, Lu Lin, Jinghui Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6292-6320

Fair Disaster Containment via Graph-Cut Problems

Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6321-6333

Provable Lifelong Learning of Representations

Xinyuan Cao, Weiyang Liu, Santosh Vempala; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6334-6356

Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6357-6386

A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center

Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6387-6408

Iterative Alignment Flows

Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6409-6444

Fast Fourier Transform Reductions for Bayesian Network Inference

Vincent Hsiao, Dana Nau, Rina Dechter; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6445-6458

QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning

Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6459-6500

Lifted Division for Lifted Hugin Belief Propagation

Moritz P. Hoffmann, Tanya Braun, Ralf Möller; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6501-6510

Proximal Optimal Transport Modeling of Population Dynamics

Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6511-6528

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits

Chuanhao Li, Hongning Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6529-6553

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6554-6572

Are All Linear Regions Created Equal?

Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Marten Bjorkman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6573-6590

Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms

Joshua Agterberg, Jeremias Sulam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6591-6629

An Alternate Policy Gradient Estimator for Softmax Policies

Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6630-6689

Co-Regularized Adversarial Learning for Multi-Domain Text Classification

Yuan Wu, Diana Inkpen, Ahmed El-Roby; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6690-6701

Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization

Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian Ratliff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6702-6734

Near Instance Optimal Model Selection for Pure Exploration Linear Bandits

Yinglun Zhu, Julian Katz-Samuels, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6735-6769

Identification in Tree-shaped Linear Structural Causal Models

Benito Van Der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6770-6792

Pareto Optimal Model Selection in Linear Bandits

Yinglun Zhu, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6793-6813

PAC Top-$k$ Identification under SST in Limited Rounds

Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6814-6839

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time

Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6840-6861

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation

Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6862-6879

On the Value of Prior in Online Learning to Rank

Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6880-6892

Doubly Mixed-Effects Gaussian Process Regression

Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6893-6908

Weighted Gaussian Process Bandits for Non-stationary Environments

Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6909-6932

Conditionally Tractable Density Estimation using Neural Networks

Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6933-6946

Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning

Hsu Kao, Vijay Subramanian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6947-6967

Sensing Cox Processes via Posterior Sampling and Positive Bases

Mojmir Mutny, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6968-6989

A Predictive Approach to Bayesian Nonparametric Survival Analysis

Edwin Fong, Brieuc Lehmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6990-7013

On the equivalence of Oja’s algorithm and GROUSE

Laura Balzano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7014-7030

Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes

Elvis Nava, Mojmir Mutny, Andreas Krause; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7031-7054

Label differential privacy via clustering

Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7055-7075

Neural score matching for high-dimensional causal inference

Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7076-7110

Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks

Qin Ding, Cho-Jui Hsieh, James Sharpnack; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7111-7123

Multi-class classification in nonparametric active learning

Boris Ndjia Njike, Xavier Siebert; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7124-7162

On the Assumptions of Synthetic Control Methods

Claudia Shi, Dhanya Sridhar, Vishal Misra, David Blei; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7163-7175

Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning

Anant Raj, Pooria Joulani, Andras Gyorgy, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7176-7186

Investigating the Role of Negatives in Contrastive Representation Learning

Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7187-7209

Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference

Amiremad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7210-7239

Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis

Dominic Danks, Christopher Yau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7240-7256

Cycle Consistent Probability Divergences Across Different Spaces

Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath Sriperumbudur; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7257-7285

Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning

Yingyi Ma, Xinhua Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7286-7299

A Bandit Model for Human-Machine Decision Making with Private Information and Opacity

Sebastian Bordt, Ulrike Von Luxburg; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7300-7319

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7320-7348

Adaptive Multi-Goal Exploration

Jean Tarbouriech, Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta, Michal Valko, Alessandro Lazaric; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7349-7383

Chernoff Sampling for Active Testing and Extension to Active Regression

Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7384-7432

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift

Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel Rodrigues; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7433-7449

Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models

Eli N. Weinstein, Alan N. Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora Marks; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7450-7482

Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances

Ruida Zhou, Chao Tian; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7483-7504

On perfectness in Gaussian graphical models

Arash Amini, Bryon Aragam, Qing Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7505-7517

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL

Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7518-7530

Efficient interventional distribution learning in the PAC framework

Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, Vinodchandran N. Variyam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7531-7549

Dropout as a Regularizer of Interaction Effects

Benjamin J. Lengerich, Eric Xing, Rich Caruana; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7550-7564

Thompson Sampling with a Mixture Prior

Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7565-7586

SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification

Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7587-7624

Nearly Optimal Algorithms for Level Set Estimation

Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert Nowak; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7625-7658

Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization

Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7659-7679

Optimal Compression of Locally Differentially Private Mechanisms

Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7680-7723

Hierarchical Bayesian Bandits

Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7724-7741

Complex Momentum for Optimization in Games

Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7742-7765

Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches

Hao Wu, Anthony Wirth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7766-7798

Tuning-Free Generalized Hamiltonian Monte Carlo

Matthew D. Hoffman, Pavel Sountsov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7799-7813

Federated Functional Gradient Boosting

Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7814-7840

Generalised GPLVM with Stochastic Variational Inference

Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7841-7864

Stochastic Extragradient: General Analysis and Improved Rates

Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7865-7901

Deep Non-crossing Quantiles through the Partial Derivative

Axel Brando, Barcelona Supercomputing Center, )*; and Joan Gimeno, Jose Rodriguez-Serrano, Jordi Vitria; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7902-7914

Optimal channel selection with discrete QCQP

Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7915-7941

Vanishing Curvature in Randomly Initialized Deep ReLU Networks

Antonio Orvieto, Jonas Kohler, Dario Pavllo, Thomas Hofmann, Aurelien Lucchi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7942-7975

Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes

Hugh Dance, Brooks Paige; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7976-8002

Self-training Converts Weak Learners to Strong Learners in Mixture Models

Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8003-8021

Two-Sample Test with Kernel Projected Wasserstein Distance

Jie Wang, Rui Gao, Yao Xie; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8022-8055

Mode estimation on matrix manifolds: Convergence and robustness

Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8056-8079

A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence

Alex R. Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8080-8094

Towards Federated Bayesian Network Structure Learning with Continuous Optimization

Ignavier Ng, Kun Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8095-8111

Nuances in Margin Conditions Determine Gains in Active Learning

Samory Kpotufe, Gan Yuan, Yunfan Zhao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8112-8126

Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting

Youngsuk Park, Danielle Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8127-8150

Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence

Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8151-8175

On the Convergence of Continuous Constrained Optimization for Structure Learning

Ignavier Ng, Sebastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8176-8198

Hardness of Learning a Single Neuron with Adversarial Label Noise

Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8199-8213

Firebolt: Weak Supervision Under Weaker Assumptions

Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia Desalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8214-8259

Relational Neural Markov Random Fields

Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8260-8269

PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime

Warren R. Morningstar, Alex Alemi, Joshua V. Dillon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8270-8298

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

Devansh Bisla, Jing Wang, Anna Choromanska; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8299-8339

Online Control of the False Discovery Rate under "Decision Deadlines"

Aaron J. Fisher; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8340-8359

Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation

Shuai Xiao, Zaifan Jiang, Shuang Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8360-8369

A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints

Zai Shi, Atilla Eryilmaz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8370-8391

Amortized Rejection Sampling in Universal Probabilistic Programming

Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schroeder De Witt, Robert Zinkov, Philip Torr, Tom Rainforth, Yee Whye Teh, Frank Wood; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8392-8412

The Curse of Passive Data Collection in Batch Reinforcement Learning

Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8413-8438

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8439-8457

Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory

Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8458-8492

Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation

Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8493-8513

Debiasing Samples from Online Learning Using Bootstrap

Ningyuan Chen, Xuefeng Gao, Yi Xiong; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8514-8533

Convergence of online k-means

Geelon So, Gaurav Mahajan, Sanjoy Dasgupta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8534-8569

Reconstructing Test Labels from Noisy Loss Functions

Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8570-8591

Contrasting the landscape of contrastive and non-contrastive learning

Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8592-8618

A general class of surrogate functions for stable and efficient reinforcement learning

Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8619-8649

Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity

Joshua K. Behne, Galen Reeves; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8650-8672

Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm

Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel Rodrigues; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8673-8699

Decoupling Local and Global Representations of Time Series

Sana Tonekaboni, Chun-Liang Li, Sercan O. Arik, Anna Goldenberg, Tomas Pfister; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8700-8714

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization

Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8715-8737

Optimal estimation of Gaussian DAG models

Ming Gao, Wai Ming Tai, Bryon Aragam; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8738-8757

Improved Approximation Algorithms for Individually Fair Clustering

Ali Vakilian, Mustafa Yalciner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8758-8779

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Yongchan Kwon, James Zou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8780-8802

Variance Minimization in the Wasserstein Space for Invariant Causal Prediction

Guillaume G. Martinet, Alexander Strzalkowski, Barbara Engelhardt; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8803-8851

Online Continual Adaptation with Active Self-Training

Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8852-8883

Structured variational inference in Bayesian state-space models

Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8884-8905

Structured Multi-task Learning for Molecular Property Prediction

Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8906-8920

Nonparametric Relational Models with Superrectangulation

Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8921-8937

Regret, stability & fairness in matching markets with bandit learners

Sarah H. Cen, Devavrat Shah; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8938-8968

Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods

Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8969-8996

Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

Yeshu Li, Zhan Shi, Xinhua Zhang, Brian Ziebart; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8997-9016

ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics

Daniel Csillag, Carolina Piazza, Thiago Ramos, João Vitor Romano, Roberto I. Oliveira, Paulo Orenstein; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9017-9049

Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective

Margalit R. Glasgow, Honglin Yuan, Tengyu Ma; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9050-9090

Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning

Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9091-9113

Best Arm Identification with Safety Constraints

Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9114-9146

On the complexity of the optimal transport problem with graph-structured cost

Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9147-9165

Second-Order Sensitivity Analysis for Bilevel Optimization

Robert Dyro, Edward Schmerling, Nikos Arechiga, Marco Pavone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9166-9181

On Learning Mixture Models with Sparse Parameters

Soumyabrata Pal, Arya Mazumdar; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9182-9213

Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering

Yubo Zhuang, Xiaohui Chen, Yun Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9214-9246

Asynchronous Distributed Optimization with Stochastic Delays

Margalit R. Glasgow, Mary Wootters; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9247-9279

Calibration Error for Heterogeneous Treatment Effects

Yizhe Xu, Steve Yadlowsky; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9280-9303

Fast Sparse Classification for Generalized Linear and Additive Models

Jiachang Liu, Chudi Zhong, Margo Seltzer, Cynthia Rudin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9304-9333

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming

Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9334-9355

Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise

Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9356-9399

Learning Sparse Fixed-Structure Gaussian Bayesian Networks

Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9400-9429

Learning and Generalization in Overparameterized Normalizing Flows

Kulin Shah, Amit Deshpande, Navin Goyal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9430-9504

Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem

Clayton H. Sanford, Vaggos Chatziafratis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9505-9549

Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings

Arman S. Zharmagambetov, Miguel A. Carreira-Perpinan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9550-9570

Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data

Matthew Engelhard, Ricardo Henao; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9571-9581

Sample Complexity of Robust Reinforcement Learning with a Generative Model

Kishan Panaganti, Dileep Kalathil; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9582-9602

On Coresets for Fair Regression and Individually Fair Clustering

Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9603-9625

LocoProp: Enhancing BackProp via Local Loss Optimization

Ehsan Amid, Rohan Anil, Manfred Warmuth; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9626-9642

Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise

Jianyu Xu, Yu-Xiang Wang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9643-9662

A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds

Yan Shuo Tan, Abhineet Agarwal, Bin Yu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9663-9685

Exact Community Recovery over Signed Graphs

Xiaolu Wang, Peng Wang, Anthony Man-Cho So; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9686-9710

Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency

Eduardo Pavez; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9711-9722

Primal-Dual Stochastic Mirror Descent for MDPs

Daniil Tiapkin, Alexander Gasnikov; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9723-9740

Convex Analysis of the Mean Field Langevin Dynamics

Atsushi Nitanda, Denny Wu, Taiji Suzuki; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9741-9757

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning

Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9758-9775

Marginalising over Stationary Kernels with Bayesian Quadrature

Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen Roberts; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9776-9792

On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging

Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael Jordan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9793-9826

An Unsupervised Hunt for Gravitational Lenses

Stephen Sheng, Keerthi Vasan G C, Chi Po P Choi, James Sharpnack, Tucker Jones; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9827-9843

Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics

Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9844-9868

Mean Nyström Embeddings for Adaptive Compressive Learning

Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9869-9889

GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures

Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9890-9907

Provable Adversarial Robustness for Fractional Lp Threat Models

Alexander J. Levine, Soheil Feizi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9908-9942

On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data

Sarbojit Roy, Jyotishka Ray Choudhury, Subhajit Dutta; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9943-9968

Learning Pareto-Efficient Decisions with Confidence

Sofia Ek, Dave Zachariah, Peter Stoica; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9969-9981

Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs

Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti Salapaka; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9982-9997

Compressed Rule Ensemble Learning

Malte Nalenz, Thomas Augustin; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9998-10014

Pick-and-Mix Information Operators for Probabilistic ODE Solvers

Nathanael Bosch, Filip Tronarp, Philipp Hennig; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10015-10027

Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning

Khaled Eldowa, Lorenzo Bisi, Marcello Restelli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10028-10066

The Importance of Future Information in Credit Card Fraud Detection

Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10067-10077

A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits

Antoine Barrier, Aurélien Garivier, Tomáš Kocák; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10078-10109

Differentially Private Federated Learning on Heterogeneous Data

Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10110-10145

Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes

Augustin Chevallier, Frédéric Cazals, Paul Fearnhead; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10146-10160

Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates

Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10161-10195

Solving Marginal MAP Exactly by Probabilistic Circuit Transformations

Yoojung Choi, Tal Friedman, Guy Van Den Broeck; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10196-10208

REPID: Regional Effect Plots with implicit Interaction Detection

Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10209-10233

Minimal Expected Regret in Linear Quadratic Control

Yassir Jedra, Alexandre Proutiere; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10234-10321

Data-splitting improves statistical performance in overparameterized regimes

Nicole Muecke, Enrico Reiss, Jonas Rungenhagen, Markus Klein; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10322-10350

Towards Understanding Biased Client Selection in Federated Learning

Yae Jee Cho, Jianyu Wang, Gauri Joshi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10351-10375

Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications

Morgane Goibert, Stephan Clemencon, Ekhine Irurozki, Pavlo Mozharovskyi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10376-10406

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference

Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10407-10421

Sobolev Norm Learning Rates for Conditional Mean Embeddings

Prem Talwai, Ali Shameli, David Simchi-Levi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10422-10447

Provable Continual Learning via Sketched Jacobian Approximations

Reinhard Heckel; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10448-10470

Neural Enhanced Dynamic Message Passing

Fei Gao, Jiang Zhang, Yan Zhang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10471-10482

Duel-based Deep Learning system for solving IQ tests

Paulina Tomaszewska, Adam Żychowski, Jacek Mańdziuk; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10483-10492

On a Connection Between Fast and Sparse Oblivious Subspace Embeddings

Rui Wang, Wangli Xu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10493-10517

Modeling Conditional Dependencies in Multiagent Trajectories

Yannick Rudolph, Ulf Brefeld; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10518-10533

Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies

Lenon Minorics, Caner Turkmen, David Kernert, Patrick Bloebaum, Laurent Callot, Dominik Janzing; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10534-10554

Increasing the accuracy and resolution of precipitation forecasts using deep generative models

Ilan Price, Stephan Rasp; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10555-10571

Tight bounds for minimum $\ell_1$-norm interpolation of noisy data

Guillaume Wang, Konstantin Donhauser, Fanny Yang; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10572-10602

Multivariate Quantile Function Forecaster

Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10603-10621

Coresets for Data Discretization and Sine Wave Fitting

Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10622-10639

Non-separable Spatio-temporal Graph Kernels via SPDEs

Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10640-10660

Towards an Understanding of Default Policies in Multitask Policy Optimization

Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10661-10686

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations

Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10687-10702

Can Functional Transfer Methods Capture Simple Inductive Biases?

Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian Sinz; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10703-10717

On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization

Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10718-10752

Model-agnostic out-of-distribution detection using combined statistical tests

Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Soren Hauberg, Jes Frellsen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10753-10776

Generalized Group Testing

Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10777-10835

Adaptive A/B Test on Networks with Cluster Structures

Yang Liu, Yifan Zhou, Ping Li, Feifang Hu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10836-10851

Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models

Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10852-10880

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge

Arshdeep Sekhon, Zhe Wang, Yanjun Qi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10881-10923

Two-way Sparse Network Inference for Count Data

Sijia Li, Martı́n López-Garcı́a, Neil D. Lawrence, Luisa Cutillo; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10924-10938

Rapid Convergence of Informed Importance Tempering

Quan Zhou, Aaron Smith; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10939-10965

On the Implicit Bias of Gradient Descent for Temporal Extrapolation

Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10966-10981

Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion

Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10982-10998

Quadric Hypersurface Intersection for Manifold Learning in Feature Space

Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10999-11013

Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons

Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11014-11036

Outcome Assumptions and Duality Theory for Balancing Weights

David A. Bruns-Smith, Avi Feller; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11037-11055

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach

Setareh Ariafar, Justin Gilmer, Zachary Nado, Jasper Snoek, Rodolphe Jenatton, George Dahl; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11056-11071

Learning from Multiple Noisy Partial Labelers

Peilin Yu, Tiffany Ding, Stephen H. Bach; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11072-11095

Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games

Michail Fasoulakis, Evangelos Markakis, Yannis Pantazis, Constantinos Varsos; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11096-11117

Hypergraph Simultaneous Generators

Bahman Pedrood, Carlotta Domeniconi, Kathryn Laskey; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11118-11130

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation

Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11131-11144

Robust Training in High Dimensions via Block Coordinate Geometric Median Descent

Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11145-11168

Stateful Offline Contextual Policy Evaluation and Learning

Nathan Kallus, Angela Zhou; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11169-11194

Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation

Zaiwei Chen, Siva Theja Maguluri; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11195-11214

Solving Multi-Arm Bandit Using a Few Bits of Communication

Osama A. Hanna, Lin Yang, Christina Fragouli; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11215-11236

Causal Effect Identification with Context-specific Independence Relations of Control Variables

Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11237-11246

Entropy Regularized Optimal Transport Independence Criterion

Lang Liu, Soumik Pal, Zaid Harchaoui; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11247-11279

Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions

Zihao Deng, Siddartha Devic, Brendan Juba; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11280-11304

PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency

Arun Padakandla, Abram Magner; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11305-11319

Can we Generalize and Distribute Private Representation Learning?

Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11320-11340

Feature Collapsing for Gaussian Process Variable Ranking

Isaac Sebenius, Topi Paananen, Aki Vehtari; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11341-11355

Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size

Wanrong Zhang, Yajun Mei, Rachel Cummings; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11356-11373

FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning

Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtarik; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11374-11421

Data Appraisal Without Data Sharing

Xinlei Xu, Awni Hannun, Laurens Van Der Maaten; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11422-11437

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds

Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Tran, Dinh Phung; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11438-11460

Transductive Robust Learning Guarantees

Omar Montasser, Steve Hanneke, Nathan Srebro; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11461-11471

Online Competitive Influence Maximization

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11472-11502

Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff

Anna Korba, François Portier; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11503-11527

The role of optimization geometry in single neuron learning

Nicholas Boffi, Stephen Tu, Jean-Jacques Slotine; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11528-11549

Learning Tensor Representations for Meta-Learning

Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11550-11580

Differentially Private Densest Subgraph

Alireza Farhadi, Mohammadtaghi Hajiaghai, Elaine Shi; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11581-11597

A Manifold View of Adversarial Risk

Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11598-11614

Statistical and computational thresholds for the planted k-densest sub-hypergraph problem

Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim Buhmann; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11615-11640

Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks

Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11641-11654

Equivariant Deep Dynamical Model for Motion Prediction

Bahar Azari, Deniz Erdogmus; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11655-11668

The Fast Kernel Transform

John P. Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11669-11690

Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis

Sloan Nietert, Ziv Goldfeld, Rachel Cummings; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11691-11719

Diversity and Generalization in Neural Network Ensembles

Luis A. Ortega, Rafael Cabañas, Andres Masegosa; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11720-11743

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