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Volume 300: International Conference on Artificial Intelligence and Statistics, 2-5 May 2026, Hilton Tanger Al Houara, Morocco
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Editors: Emtiyaz Khan, Yingzhen Li, Arno Solin, Aaditya Ramdas
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1-9
Rethinking Intrinsic Dimension Estimation in Neural Representations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:10-18
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:19-27
Partially Lazy Gradient Descent for Smoothed Online Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:28-36
A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:37-45
Probabilistic multi-dimensional classification with incomplete data at the prediction time
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:46-54
On the Hardness of Reinforcement Learning with Transition Look-Ahead
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:55-63
Tyler’s M-estimator Through the Lens of Convex-Concave Programming
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:64-72
Counterfactual Credit Guided Bayesian Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:73-81
Beyond Pooling: Matching for Robust Generalization Under Data Heterogeneity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:82-90
Unsupervised Ensemble Learning Through Deep Energy-based Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:91-99
Convergence of Projected Stochastic Natural Gradient Variational Inference for Various Step Size and Sample or Batch Size Schedules
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:100-108
TAS-EGNN: Task-Aware Spectral Ego-Graphs for Efficient GNNs-Based Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:109-117
Design-Based Finite-Sample Analysis for Regression Adjustment
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:118-126
On the Weight Density of L2-Regularized Linear Classification and Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:127-135
On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:136-144
Understanding Generalization in Node and Link Prediction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:145-153
Multi-Component VAE with Gaussian Markov Random Field
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:154-162
Happiness as a Measure of Fairness
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:163-171
Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:172-180
Where You Place the Norm Matters: From Prejudiced to Neutral Initializations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:181-189
E-Scores for (In)Correctness Assessment of Generative Model Outputs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:190-198
Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:199-207
Dyno-Net: A Dynamic Feature Extraction Model for Gastrointestinal Polyp Detection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:208-216
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:217-225
Preference-based Conditional Treatment Effects and Policy Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:226-234
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:235-243
Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency Through Shuffling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:244-252
Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:253-261
Practical and Efficient Rashomon Set Sampling for Model Interpretability
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:262-270
Dualformer: Time-Frequency Dual Domain Learning for Long-term Time Series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:271-279
Simplex-to-Euclidean Bijections for Categorical Flow Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:280-288
Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:289-297
Projection-free Algorithms for Online Convex Optimization with Adversarial Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:298-306
Corruption Robust Thompson Sampling for Gaussian Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:307-315
Dashed Line Defense: Plug-And-Play Defense Against Adaptive Score-Based Query Attacks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:316-324
Support Basis: Fast Attention Beyond Bounded Entries
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:325-333
A Scalable Lift-and-Project Differentiable Approach For the Maximum Cut Problem
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:334-342
When Can Federated Learning Match Centralized Learning? A PAC-Bayesian Generalization Gap Analysis
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:343-351
Secretary Problem with Predictions and Ordering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:352-360
Empirical PAC-Bayes Bounds for Markov Chains
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:361-369
DeepRV: Accelerating Spatiotemporal Inference with Pre-trained Neural Priors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:370-378
Differentially Private Minimum Spanning Tree in Euclidean Graphs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:379-387
SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:388-396
Scalable Utility-Aware Multiclass Calibration
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:397-405
Off-policy Distributional Q($λ$): Distributional RL without Importance Sampling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:406-414
RL-finetuning LLMs from on- and off-policy data with a single algorithm
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:415-423
FedCCA: Federated Canonical Correlation Analysis
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:424-432
Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:433-441
Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:442-450
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:451-459
Low-Rank Bias, Weight Decay, and Model Merging in Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:460-468
On Computational Limits of FlowAR Models: Expressivity and Efficiency
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:469-477
Noise-Free Dynamic Rank-Adaptation via Riemannian Methods in Federated Fine-Tuning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:478-486
Enhancing LLM Safety Through a Theoretical Minimax Game Lens
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:487-495
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:496-504
A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:505-513
Graphon Mixtures
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:514-522
Robust Estimation of a Sparse Linear Model: Provable Guarantees with Non-convexity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:523-531
Provable Guarantees for Estimating Covariances between Latent Variables with Application to Precision Matrix Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:532-540
Meta Sparse Principal Component Analysis
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:541-549
Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:550-558
Towards Motion-aware Referring Image Segmentation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:559-567
Policy Testing in Markov Decision Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:568-576
Active learning for stochastic contextual linear bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:577-585
FedDuA: Doubly Adaptive Federated Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:586-594
Optimal Variance and Covariance Estimation Under Differential Privacy in the Add-Remove Model and Beyond
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:595-603
Bandit-based Maximum Inner Product Search with Data-Dependent Confidence Intervals
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:604-612
Explanation Design in Strategic Learning: Sufficient Explanations That Induce Non-harmful Responses
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:613-621
Root Cause Analysis of Outliers in Unknown Cyclic Graphs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:622-630
Harnessing the Power of Reinforcement Learning for Adaptive MCMC
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:631-639
Prior shift estimation for positive unlabeled data through the lens of kernel embedding
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:640-648
An Indicator of Membership Inference Security in Post-Training Quantized Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:649-657
GeoTTER: Leveraging Local Geometry of Optimal Transport for Zero-Shot Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:658-666
Learning in Continuous State-Space MDPs for Network Inventory Management
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:667-675
Convexified Message-Passing Graph Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:676-684
Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:685-693
Mixture Proportion Estimation and Weakly-supervised Kernel Test for Conditional Independence
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:694-702
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:703-711
High-Dimensional Analysis of Bootstrap Ensemble Classifiers
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:712-720
Policy-Oriented Binary Classification: Improving (KD-)CART Final Splits for Subpopulation Targeting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:721-729
Optimal rates for density and mode estimation with expand-and-sparsify representations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:730-738
$k$-PCA for (non-squared) Euclidean Distances: Deterministic Polynomial Time Approximation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:739-747
Rate-optimal Design for Anytime Best Arm Identification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:748-756
Variance Constrained Distribution Alignment in Few-shot Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:757-765
Optimal Posterior Sampling for Policy Identification in Tabular Markov Decision Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:766-774
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:775-783
Regularizing Extrapolation in Causal Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:784-792
Regret Guarantees for Linear Contextual Stochastic Shortest Path
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:793-801
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:802-810
FIELDING: Clustered Federated Learning with Data Drift
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:811-819
Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:820-828
Structural Alignment Improves Graph Test-Time Adaptation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:829-837
A Semi-Supervised Kernel Two-Sample Test
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:838-846
In-Context Learning for Discrete Optimal Transport: Can Transformers Sort?
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:847-855
Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:856-864
The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:865-873
A Continuous Time Markov Chain Framework for Insertion Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:874-882
Brenier Isotonic Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:883-891
RealStats: A Rigorous Real-Only Statistical Framework for Fake Image Detection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:892-900
The Minimax Lower Bound of Kernel Stein Discrepancy Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:901-909
Consistent PCA and Spectral Clustering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:910-918
Scalable Learning of Multivariate Distributions via Coresets
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:919-927
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:928-936
Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:937-945
The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:946-954
Train Less, Infer Faster: Efficient Model Finetuning and Compression via Structured Sparsity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:955-963
Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:964-972
Information Hidden in Gradients of Regression with Target Noise
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:973-981
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for rare-event and anomaly detection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:982-990
A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:991-999
Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1000-1008
Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1009-1017
Integrating Feature Correlation in Differential Privacy with Applications in DP-ERM
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1018-1026
On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1027-1035
Examining the Bias of In-Batch Sampling in Similarity Learning with Two-Tower Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1036-1044
Weighted quantization using MMD: From mean field to mean shift using gradient flows
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1045-1053
Sample Average Approximation for Alpha-Divergence Minimization with Exponential Convergence Guarantees
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1054-1062
Linear Convergence of the Frank-Wolfe Algorithm over Product Polytopes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1063-1071
Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1072-1080
Filter, Augment, Forecast: Online Data Selection for Robust Time Series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1081-1089
Meet Me at the Arm: The Cooperative Multi Armed Bandits Problem with Shareable Arms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1090-1098
Stochastic Bandits on Mixture Distributions: Metrics & Regret Bounds
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1099-1107
Sparse Linear Bandits with Blocking Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1108-1116
A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1117-1125
On Relation-Aware Slicing in Cross-Domain Alignment
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1126-1134
Differential Privacy in Kernelized Contextual Bandits via Random Projections
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1135-1143
Narrowing Action Choices with AI Improves Human Sequential Decisions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1144-1152
Preconditioned Attention: Enhancing Efficiency in Transformer Blocks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1153-1161
Accelerating Byzantine-Robust Distributed Learning with Compressed Communication via Double Momentum and Variance Reduction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1162-1170
On Barycenter Computation: Analyzing Semi-Unbalanced Optimal Transport-based Method on Bures-Wasserstein manifold.
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1171-1179
Boltzmann Exploration for Heavy-Tailed Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1180-1188
Causal Partial Identification via Conditional Optimal Transport
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1189-1197
General Weighted Averaging in Stochastic Gradient Descent: CLT and Adaptive Optimality
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1198-1206
Topological Alignment of Shared Vision-Language Embedding Space
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1207-1215
Beyond Binary Out of Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1216-1224
A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1225-1233
Efficient Learning of Stationary Diffusions with Stein-type Discrepancies
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1234-1242
High-dimensional Learning with Noisy Labels
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1243-1251
Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1252-1260
Improved Algorithms for Clustering with Noisy Distance Oracles
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1261-1269
Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1270-1278
Differentially Private Algorithms for the Stochastic Compositional Optimization Problem
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1279-1287
Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1288-1296
Catoni-Style Change Point Detection for Regret Minimization in Piecewise-Stationary Heavy-Tailed Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1297-1305
On the Latent Information Geometry of the Grassmann Manifold
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1306-1314
High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1315-1323
Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1324-1332
Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1333-1341
Structured Matrix Scaling for Multi-Class Calibration
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1342-1350
An Information-Theoretic Approach to Understanding Transformers’ In-Context Learning of Variable-Order Markov Chains
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1351-1359
Differentially Private Clustering in Data Streams
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1360-1368
Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1369-1377
Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1378-1386
Regularized Operator Extrapolation Method For Stochastic Hierarchical Variational Inequality Problems
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1387-1395
Influence Attributions can be Systematically Altered by Model Manipulation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1396-1404
Denoising Score Matching with Random Features: Insights on Diffusion Models From Precise Learning Curves
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1405-1413
Improving Coverage in Combined Prediction Sets with Weighted p-values
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1414-1422
A Covering Framework for Offline POMDPs Learning Using Belief Space Metric
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1423-1431
Composable Coresets for Constrained Determinant Maximization and Beyond
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1432-1440
Low-Complexity and Consistent Graphon Estimation from Multiple Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1441-1449
Structured Difference-of-Q via Orthogonal Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1450-1458
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1459-1467
Balanced and Robust Multi-Treatment Experimental Designs via Randomized Differencing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1468-1476
Sparse Linear Bandits with Fixed Sparsity Support: Adversarial and Stochastic Regimes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1477-1485
Tractable Uncertainty-Aware Meta-Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1486-1494
Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1495-1503
Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1504-1512
Conformal Robust Control of Linear Systems
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1513-1521
FocusViT: Faithful Explanations for Vision Transformers via Gradient-Guided Layer-Skipping
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1522-1530
Feature Importance via Sets of Locally Performant Linear Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1531-1539
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1540-1548
Non-Asymptotic Generalization and Optimization Bounds for Stochastic Gauss-Newton in Deep Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1549-1557
ADOPT: Additive Optimal Transport Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1558-1566
Likelihood-Free Inference via Structured Score Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1567-1575
Duality-based Residual Estimation for Fully Offline Value-based Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1576-1584
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1585-1593
On Kernel based Variational Autoencoders
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1594-1602
LLMs Judging LLMs: A Simplex Perspective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1603-1611
Fair Clustering via Hierarchical Fair-Dirichlet Prior
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1612-1620
Optimal Arm Elimination Algorithms for Combinatorial Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1621-1629
Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1630-1638
Lloyd’s $K$-Means Clustering Algorithm is Frank-Wolfe in Disguise
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1639-1647
MDPs with a State Sensing Cost
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1648-1656
MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1657-1665
SPIRE: Conditional Personalization for Federated Diffusion Generative Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1666-1674
Implicit Updates for Average-Reward Temporal Difference Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1675-1683
Welfare-Centric Clustering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1684-1692
Rethinking Probabilistic Circuit Parameter Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1693-1701
DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1702-1710
The Majority Vote Paradigm Shift: When Popular Meets Optimal
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1711-1719
Provable Target Sample Complexity Improvements as Pre-Trained Models Scale
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1720-1728
Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1729-1737
Sparse Offline Reinforcement Learning with Corruption Robustness
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1738-1746
Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1747-1755
Closed-Form Coordinate Ascent Variational Inference for Student-t Process Regression with Student-t Likelihood
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1756-1764
Transportability Without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1765-1773
Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1774-1782
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1783-1791
Sharp Risk Bounds for Early-stopping in Gaussian Linear Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1792-1800
Community-Enhanced Semi-seeded Network Alignment (CESSNA): A Robust Method with Application to Microbiome Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1801-1809
Asymptotic optimality theory of confidence intervals of the mean
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1810-1818
Towards Blackwell Optimality: Bellman Optimality Is All You Can Get
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1819-1827
Hypergraph Neural Networks Accelerate MUS Enumeration
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1828-1836
On the calibration of survival models with competing risks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1837-1845
Sequential Off-Policy Learning with Logarithmic Smoothing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1846-1854
A Divergence-Based Method for Weighting and Averaging Model Predictions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1855-1863
Corruption-robust Offline Multi-agent Reinforcement Learning from Human Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1864-1872
FastRank: Fast Tensor Rank Approximation based on Spectral Energy
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1873-1881
NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1882-1890
Bad Values but Good Behavior: Learning Highly Misspecified Bandits with Function Approximation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1891-1899
Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1900-1908
Reinforcement Learning Using Known Invariances
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1909-1917
AlphaFold’s Bayesian Roots in Probability Kinematics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1918-1926
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1927-1935
A Bayesian Information-Theoretic Approach to Data Attribution
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1936-1944
Variational Inference via Radial Transport
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1945-1953
Thompson Sampling-like Algorithms for Stochastic Rising Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1954-1962
Efficient Swap Regret Minimization in Combinatorial Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1963-1971
Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1972-1980
On the Number of Conditional Independence Tests in Constraint-based Causal Discovery
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1981-1989
Local Causal Discovery for Statistically Efficient Causal Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1990-1998
Differentially Private E-Values
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:1999-2007
Reconciling Communication Compression and Byzantine-Robustness in Distributed Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2008-2016
PAC-Bayesian Bounds on Constrained $f$-Entropic Risk Measures
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2017-2025
Stationarity-Aware Causal Discovery in Time Series via Minimal Separating Sets
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2026-2034
Do We Need Rebalancing Strategies? A Theoretical and Empirical Study Around SMOTE and Its Variants
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2035-2043
Conditional Flow Matching for Bayesian Posterior Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2044-2052
Efficient Logistic Regression with Mixture of Sigmoids
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2053-2061
Efficient and Accurate Tensor Compression via Recursive Sketching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2062-2070
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2071-2079
Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2080-2088
Active Subspaces in Infinite Dimension
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2089-2097
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2098-2106
Multi-Metric Adaptive Experimental Design Under a Fixed Budget with Validation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2107-2115
Best Policy Learning From Trajectory Preference Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2116-2124
Information-Theoretic Error Bounds for Source Localization in Neural Sensing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2125-2133
Why is prompting hard? Understanding prompts on binary sequence predictors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2134-2142
Learning Hyperparameters via a Data-Emphasized Variational Objective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2143-2151
Incentivizing Truthful Submissions in a Data Marketplace for Mean Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2152-2160
Semi-Random Noisy and One-Bit Matrix Completion via Nonconvex Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2161-2169
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2170-2178
Time-Aware Synthetic Control
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2179-2187
Time Series Forecasting with Hahn Kolmogorov-Arnold Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2188-2196
Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2197-2205
Unified Causal Discovery and Missing Data Imputation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2206-2214
Evaluation of Large Language Models via Coupled Token Generation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2215-2223
Nonparametric Multi Change Point Detection for Markov Chains via Adaptive Clustering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2224-2232
Recency Biased Causal Attention for Time-series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2233-2241
Bayesian Inverse Transition Learning: Learning Dynamics from Near-Optimal Trajectories
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2242-2250
Boosted GFlowNets: Improving Exploration via Sequential Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2251-2259
Hellinger Multimodal Variational Autoencoders
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2260-2268
Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2269-2277
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2278-2286
On the Misinformation in a Statistical Experiment
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2287-2295
Undersmoothing Black-Box Models for Functional Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2296-2304
Fundamental Limits of Non-Adaptive Group Testing With Markovian Correlation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2305-2313
Moonwalk: Inverse-Forward Differentiation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2314-2322
Injecting Measurement Information Yields a Fast and Noise-Robust Diffusion-Based Inverse Problem Solver
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2323-2331
On the Role of Depth in the Expressivity of RNNs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2332-2340
DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2341-2349
Towards Characterizing the Complexity of Riemannian Online Convex Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2350-2358
Provable Accelerated Bayesian Optimization with Knowledge Transfer
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2359-2367
The Role of Causal Features in Strategic Classification for Robustness and Alignment
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2368-2376
Provably Efficient and Agile Randomized Q-Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2377-2385
Neuron Block Dynamics for XOR Classification with Zero-Margin
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2386-2394
Where the Score Lives: A Wavelet View of Diffusion
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2395-2403
Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2404-2412
From Token Imbalance to Balanced Routing: An ELBO-Regularized Probabilistic Framework for Contrastive Multimodal Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2413-2421
Conservative Inference in Switchback Experiments
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2422-2430
Efficient Uncoupled Learning Dynamics with $\tildeO\left(T^-1/4\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2431-2439
On the optimal regret of collaborative personalized linear bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2440-2448
Gradient-Flow SDEs Have Unique Transient Population Dynamics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2449-2457
From Cells to Sentences: An End-to-End Framework for Table Understanding
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2458-2466
Demystifying Transition Matching: When and Why It Can Beat Flow Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2467-2475
From Transformers to State Spaces: GeoMamba-SE(3) for Fast and Accurate Molecular Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2476-2484
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2485-2493
Generalized Correlation Shifting for Lasso
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2494-2502
Certifying Reading Comprehension in Large Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2503-2511
Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2512-2520
Process-Tensor Tomography of SGD: Measuring Non-Markovian Memory via Back-Flow of Distinguishability
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2521-2529
Learning Under Moral Hazard with Instrumental Regression and Generalized Method of Moments
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2530-2538
Lipschitz Multiscale Deep Equilibrium Models: A Theoretically Guaranteed and Accelerated Approach
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2539-2547
Tight Lower Bounds and Optimal Algorithms for Stochastic Nonconvex Optimization with Heavy-Tailed Noise
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2548-2556
SiGHT: A Self-Supervised Graph-based Hallucination DeTection Framework for Domain-Specific LLMs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2557-2565
Towards Sensitivity-Aware Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2566-2574
Optimistic Actor-Critic with Parametric Policies for Linear Markov Decision Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2575-2583
From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2584-2592
Three-operator splitting with stale gradients for faster non-linear optimal transport
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2593-2601
Structured Temporal Inference in State-Space Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2602-2610
Incoherence in Goal-Conditioned Autoregressive Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2611-2619
Linear Reasoning Vs. Proof by Cases: Obstacles for Large Language Models in FOL Problem Solving
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2620-2628
We Still Don’t Understand High-Dimensional Bayesian Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2629-2637
ECAI: Efficient Convolution Activation Inversion for Constant-Memory Convolutional Neural Networks Training
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2638-2646
Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2647-2655
Counterfactual Explanations via Latent Structure for Time Series Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2656-2664
Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2665-2673
Hyperbolic Learning with Supervision from any Granularity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2674-2682
Statistical Inference for Explainable Boosting Machines
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2683-2691
Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2692-2700
Online Learning-to-Defer with Varying Experts
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2701-2709
Adversarial Robustness in One-Stage Learning-to-Defer
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2710-2718
Faster Parallel MCMC: Metropolis Adjustment Is Best Served Warm
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2719-2727
CTRLS: Chain-of-Thought Reasoning via Latent State Transition
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2728-2736
Representation Learning via Non-Contrastive Mutual Information
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2737-2745
A projection-based framework for gradient-free and parallel learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2746-2754
Local Regression on Path Spaces with Signature Metrics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2755-2763
Partial Monotonicity for Submodular Maximization with a Knapsack Constraint
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2764-2772
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2773-2781
Variational Grey-Box Dynamics Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2782-2790
Training Latent Diffusion Models with Interacting Particle Algorithms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2791-2799
Power Transform Revisited: Numerically Stable, and Federated
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2800-2808
Learning How Deep to Go: Self-Scaling Deep Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2809-2817
ReTrack: Data Unlearning in Diffusion Models Through Redirecting the Denoising Trajectory
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2818-2826
Bounds and Identification of Joint Probabilities of Potential Outcomes and Observed Variables Under Monotonicity Assumptions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2827-2835
Gradient Regularized Natural Gradients
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2836-2844
Data Distribution Valuation Using Generalized Bayesian Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2845-2853
Computationally Lightweight Classifiers with Frequentist Bounds on Predictions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2854-2862
An Evaluation of Cost Functions for Algorithmic Recourse
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2863-2871
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2872-2880
Rank Lifting and Random Non-Linear Maps
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2881-2889
Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2890-2898
FlowPINNs: A Variational Framework for PDE Parameter Inference and Uncertainty Quantification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2899-2907
Multilayer Correlation Clustering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2908-2916
Minimizing Human Intervention in Online Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2917-2925
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2926-2934
Personalized Incentive Alignment: Correcting Utility-Driven Selection Bias in A/B Tests
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2935-2943
LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2944-2952
Ergodic and Subhomogeneous Dynamics in Hyperbolic Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2953-2961
Learning Geometry and Topology via Multi-Chart Flows
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2962-2970
Hyperbolic Part-Whole Image Segmentation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2971-2979
In-Context Function Learning in Large Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2980-2988
Pure Exploration with Infinite Answers
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2989-2997
Parameter-Free Dynamic Regret for Unconstrained Linear Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:2998-3006
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local Alpha-PL
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3007-3015
Representative, Informative, and De-Amplifying: Requirements for Robust Bayesian Active Learning under Model Misspecification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3016-3024
Deformed Decomposition for Non-negative Tensors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3025-3033
Mask-Conditional Conformal Prediction: Valid Uncertainty For All Missing Data Mechanisms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3034-3042
Tractable Shapley Values and Interactions via Tensor Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3043-3051
Provably Efficient Reinforcement Learning for Sparse Dynamical Systems with Non-Gaussian Noise
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3052-3060
SetPINNs: Set-based Physics-informed Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3061-3069
Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3070-3078
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3079-3087
Graph Learning is Suboptimal in Causal Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3088-3096
DP-SPRT: Differentially Private Sequential Probability Ratio Tests
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3097-3105
Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3106-3114
High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3115-3123
EventFlow: Forecasting Temporal Point Processes with Flow Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3124-3132
Statistical-computational gap in multiple Gaussian graph alignment
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3133-3141
On the Convergence and Stability of Distributed Sub-model Training
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3142-3150
Fast and Robust Simulation-Based Inference With Optimization Monte Carlo
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3151-3159
The Rashomon Effect for Visualizing High-Dimensional Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3160-3168
Lower Bounds for Public-Private Learning under Distribution Shift
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3169-3177
Uncertainty Quantification for Named Entity Recognition via Conformal Prediction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3178-3186
Generalized and Optimal Straight-Through Estimators
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3187-3195
Adaptive Coverage Policies in Conformal Prediction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3196-3204
Fact-Augmented Lookahead Planning for LLM Agents
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3205-3213
Unmixing Mean Embeddings for Domain Adaptation with Target Label Proportion
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3214-3222
Learning Physical Operators using Neural Operators
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3223-3231
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3232-3240
Tight Analysis of Decentralized SGD: a Markov Chain Perspective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3241-3249
Near-Optimal Clustering in Mixture of Markov Chains
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3250-3258
Beyond Binning: Soft Task Reformulation for Deep Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3259-3267
Zeroth-Order Stochastic Compositional Gradient Descent: Towards Black-Box Sparse AUC Maximization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3268-3276
A Geometric Approach to Optimal Experimental Design
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3277-3285
Accelerating PDE Surrogates via RL-Guided Mesh Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3286-3294
Connectome-Guided Optimization for Deep Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3295-3303
Accelerated Distributed Optimization with Compression and Error Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3304-3312
Beyond Real Data: Synthetic Data through the Lens of Regularization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3313-3321
A Proof of Learning Rate Transfer Under $μ$P
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3322-3330
Neural Doubly Robust Proximal Causal Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3331-3339
Fast Quasar-Convex Optimization with Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3340-3348
Free Random Projection for In-Context Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3349-3357
Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3358-3366
Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3367-3375
Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3376-3384
Hybrid Meta-Learners for Estimating Heterogeneous Treatment Effects
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3385-3393
A Goemans-Williamson type algorithm for identifying subcohorts in clinical trials
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3394-3402
Beyond ReLU: How Activations Affect Neural Kernels and Random Wide Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3403-3411
Kernel Treatment Effects with Adaptively Collected Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3412-3420
Canopy Tree Height Estimation Using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3421-3429
Rate optimal learning of equilibria from data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3430-3438
Learnability with Partial Labels and Adaptive Nearest Neighbors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3439-3447
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3448-3456
Minimax Generalized Cross-Entropy
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3457-3465
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3466-3474
Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3475-3483
Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3484-3492
Loss Gaps Parity for Fairness in Heterogeneous Federated Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3493-3501
T$_k$CP: Context-Aware Pooling via Top-k% Activation Selection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3502-3510
Identification and Estimation of "Probabilities of Causation" in the Presence of Confounding and Selection Bias
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3511-3519
Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3520-3528
Scalable Model-Based Clustering with Sequential Monte Carlo
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3529-3537
Multiclass Local Calibration with the Jensen-Shannon Distance
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3538-3546
Discrete State Diffusion Models: A Sample Complexity Perspective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3547-3555
KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3556-3564
Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3565-3573
Efficient Flow Matching Using Latent Variables
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3574-3582
Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3583-3591
Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3592-3600
Optimistic Reinforcement Learning with Quantile Objectives
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3601-3609
A Modularized Framework for Piecewise-Stationary Restless Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3610-3618
Distribution Free M-estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3619-3627
Learning to Bid in Discriminatory Auctions with Budget Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3628-3636
TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3637-3645
Auto-Regressive Masked Diffusion Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3646-3654
Quantifying Epistemic Uncertainty in Diffusion Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3655-3663
In-memory Training on Analog Devices with Limited Conductance States via Multi-tile Residual Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3664-3672
It’s All In The (Exponential) Family: An Equivalence Between Maximum Likelihood Estimation and Control Variates For Sketching Algorithms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3673-3681
Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3682-3690
Multi-Armed Sampling Problem and the End of Exploration
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3691-3699
Amortized Structural Variational Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3700-3708
High-Probability Bounds for Heterogeneous Local Differential Privacy
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3709-3717
Robust Federated Clustering under Heterogeneity and Adversaries
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3718-3726
Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3727-3735
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3736-3744
Clustering-Based Edge Augmentation for Minimizing the Kirchhoff Index
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3745-3753
Auditing Pay-Per-Token in Large Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3754-3762
Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3763-3771
Laplace approximation for Bayesian variable selection via Le Cam’s one-step procedure
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3772-3780
CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3781-3789
Fast Private Adaptive Query Answering for Large Data Domains
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3790-3798
Optimal Transport Guarantees to Nonparametric Regression for Locally Stationary Time Series
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3799-3807
Frequency-Based Hyperparameter Selection in Games
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3808-3816
MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3817-3825
Robustness and Generalization in Uncertainty-Aware Message Passing Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3826-3834
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3835-3843
The Information Geometry of Local Generalization Dynamics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3844-3852
Private and Efficient Federated Statistical Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3853-3861
Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3862-3870
Longitudinal Flow Matching for Trajectory Modeling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3871-3879
Adversarial Debiasing for Parameter Recovery
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3880-3888
A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3889-3897
Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3898-3906
Active Measuring in Reinforcement Learning With Delayed Negative Effects
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3907-3915
Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3916-3924
Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3925-3933
Confidence-Guided Self-Training for Gradual Domain Adaptation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3934-3942
Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3943-3951
ConDiSim: Conditional Diffusion Models for Simulation-Based Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3952-3960
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3961-3969
Securing Model Weights Against Eavesdropping Adversaries in Federated Learning Using Quantization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3970-3978
Value Gradient Sampler: Learning Invariant Value Functions for Equivariant Diffusion Sampling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3979-3987
Finite-Time Analysis of Gradient Descent for Shallow Transformers
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3988-3996
Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:3997-4005
Robust Learning of A Group DRO Neuron
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4006-4014
GiVA: Gradient-Informed Bases for Vector-Based Adaptation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4015-4023
Learning Right Monotone Permutation Matrices for Neural Subsequence Search
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4024-4032
Deep Polynomial Chaos Expansion
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4033-4041
Efficient Bilevel Optimization with KFAC-Based Hypergradients
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4042-4050
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4051-4059
Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4060-4068
On Propagation of Chaos for the Fisher-Rao Gradient Flow in Entropic Mean-Field Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4069-4077
Regression Descent: A Statistical Framework for Neural Network Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4078-4086
Adaptive Diffusion Guidance via Stochastic Optimal Control
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4087-4095
ZipMoE: A Theoretically-Grounded Mixture of Experts Approach forParameter-Efficient Deep Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4096-4104
Active Measurement of Two-Point Correlations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4105-4113
An Illusion of Unlearning? Assessing Machine Unlearning Through Internal Representations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4114-4122
Calibrated Principal Component Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4123-4131
Functional Properties of the Focal-Entropy
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4132-4140
Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4141-4149
WSBD: Freezing-Based Optimizer for Quantum Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4150-4158
Understanding SAM’s Robustness to Noisy Labels Through Gradient Down-weighting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4159-4167
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4168-4176
Visual Prompting Reimagined: The Power of Activation Prompts
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4177-4185
One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4186-4194
Inverse-Free Sparse Variational Gaussian Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4195-4203
Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4204-4212
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4213-4221
TexTSC: Class-Texture Preserving Data Condensation for Time Series Classification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4222-4230
From Restless to Contextual: A Thresholding Bandit Reformulation for Finite-horizon Improvement
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4231-4239
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4240-4248
Regularized $f$-Divergence Kernel Tests
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4249-4257
Gradient Descent with Provably Tuned Learning-rate Schedules
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4258-4266
OEUVRE: OnlinE Unbiased Variance-Reduced Loss Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4267-4275
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4276-4284
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4285-4293
Retrieval Augmented Time Series Forecasting
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4294-4302
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4303-4311
Improving Adaptive Moment Optimization via Preconditioner Diagonalization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4312-4320
Panprediction: Optimal Predictions for Any Downstream Task and Loss
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4321-4329
The Cross-Context Threshold Test: Detecting Discrimination Under Environmental Shifts
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4330-4338
ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4339-4347
Replicable Machine Learning: Theory and Algorithms for Stochastic Convex and Non-Convex Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4348-4356
Near-Optimal Dropout-Robust Sortiton
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4357-4365
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4366-4374
LLM-as-a-Judge on a Budget
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4375-4383
Scalable Policy Maximization Under Network Interference
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4384-4392
A Unifying Framework for Unsupervised Concept Extraction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4393-4401
Nearly Optimal Best Arm Identification for Semiparametric Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4402-4410
Open Multi-agent Multi-armed Bandit with Applications in Permissionless Blockchain
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4411-4419
On the Finite-Sample Bias of Minimizing Expected Wasserstein Loss Between Empirical Distributions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4420-4428
Multi-Agent Lipschitz Bandits
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4429-4437
Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4438-4446
Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4447-4455
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4456-4464
Policy Learning with Abstention
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4465-4473
Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4474-4482
A New Perspective on Minimum-Norm Interpolation Under Gaussian Covariates
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4483-4491
High-Performance Self-Supervised Learning by Joint Training of Flow Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4492-4500
From Counts to Preferences: Preference-Driven Models for Spatio-Temporal Event Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4501-4509
Efficient Model Performance Evaluation Using a Combination of Expert and Crowd-sourced Labels
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4510-4518
Proof of The TAP Free Energy for High-Dimensional Linear Regression with Spherical Priors at All Temperatures
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4519-4527
The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4528-4536
ACE-KT: Cascaded Cognitive Modeling for Stage-wise Knowledge Tracing
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4537-4545
LAMP: Extracting Local Decision Surfaces From Large Language Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4546-4554
Direct Preference Optimization with Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4555-4563
Monotone and Conservative Policy Iteration Beyond the Tabular Case
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4564-4572
Batch-Adaptive Causal Annotations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4573-4581
On the Intrinsic Dimensions of Data in Kernel Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4582-4590
Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4591-4599
Slithering Through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4600-4608
CONTEXTUAL RANKING AND MATCHING. OPTIMAL REGRET UNDER LST
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4609-4617
Meta-probabilistic Modeling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4618-4626
BASTION: A Bayesian Framework for Trend and Seasonality Decomposition
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4627-4635
On the Convergence and Straightness of Rectified Flow
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4636-4644
Three-Step Nav: A Hierarchical Global–Local Planner for Zero-Shot Vision-and-Language Navigation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4645-4653
Learning Equivariant Functions via Quadratic Forms
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4654-4662
Is Supervised Learning Really That Different From Unsupervised?
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4663-4671
Learning Linear Regression with Low-Rank Tasks In-Context
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4672-4680
RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4681-4689
Shift is Good: Mismatched Data Mixing Improves Test Performance
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4690-4698
Adaptive A/B Testing under Nonstationary Dynamics using State-Space Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4699-4707
An Information-Geometric Approach to Artificial Curiosity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4708-4716
Counterfactually Fair Conformal Prediction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4717-4725
Two mathematical models of knowledge distillation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4726-4734
On the Hardness of Auditing Model Properties Under Updates: Complexity of Property-Preserving Updates
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4735-4743
Tractable Gaussian Phase Retrieval with Heavy Tails and Adversarial Corruption with Near-Linear Sample Complexity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4744-4752
Modeling Multi-Objective Tradeoffs with Monotonic Utility Functions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4753-4761
Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4762-4770
Accelerated Learning on Large-Scale Screens using Generative Library Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4771-4779
Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4780-4788
Deliberate-When-Needed: Flow-Reasoner for Neuro-Symbolic Continuous Thought
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4789-4797
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4798-4806
Uncovering Hidden Training Dynamics in Neural Networks via Inter-Sample Influence Graphs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4807-4815
A Correlation Analysis Approach to Finding Interpretable Latent Representations via Conditional Generative Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4816-4824
Understanding the Benefits of SimCLR Pre-Training in Two-Layer Convolutional Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4825-4833
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4834-4842
TENDE: Transfer Entropy Neural Diffusion Estimation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4843-4851
CoreSPECT: Enhancing Clustering Algorithms via an Interplay of Density and Geometry
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4852-4860
Deep Feedback Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4861-4869
Tight Regret Upper and Lower Bounds for Optimistic Hedge in Two-Player Zero-Sum Games
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4870-4878
Differentially Private and Federated Structure Learning in Bayesian Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4879-4887
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4888-4896
Exact Tensor Completion Beyond Isotropy and Invertibility
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4897-4905
DRAUN: An Optimization-Agnostic Data Reconstruction Attack on Federated Unlearning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4906-4914
Predictive Deep Sets
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4915-4923
On the Normalization of Confusion Matrices: Methods and Geometric Interpretations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4924-4932
A Polynomial-Time Approximation for Pairwise Fair $k$-Median Clustering
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4933-4941
Aggregation on Learnable Manifolds for Asynchronous Federated Optimisation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4942-4950
Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4951-4959
On Global Convergence Rates for Federated Softmax Policy Gradient Under HeterogeneousEnvironments
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4960-4968
Bandits in Flux: Adversarial Constraints in Dynamic Environments
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4969-4977
$ε$-Identifiability of Causal Quantities
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4978-4986
Numerical Fragility in Transformers: A Layer-wise Theory for Risk Estimation and Selective Stabilization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4987-4995
HGT-FD: Hypergraph transformer for Fraud Detection
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:4996-5004
Generalization Bounds Under Heavy-Tailed Losses
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5005-5013
Bayesian Fourier Features for Reduced Rank Gaussian Processes
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5014-5022
SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5023-5031
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5032-5040
AMRM-Pure: Semantic-Preserving Adversarial Purification
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5041-5049
On the Identifiability of Tensor Ranks via Prior Predictive Matching
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5050-5058
UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5059-5067
Disentangling Federated Learning Heterogeneity: A Dual-Perspective Analysis of Quantifying Skew Versus Scarcity
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5068-5076
On the Neural Feature Ansatz for Deep Neural Networks
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5077-5085
Orthogonal Representation Learning for Estimating Causal Quantities
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5086-5094
Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5095-5103
Learning to Explore With Lagrangians For Bandits Under Unknown Constraints
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5104-5112
PolarQuant: Vector Quantization with Polar Transformation
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5113-5121
Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5122-5130
Adversary-Free Counterfactual Prediction via Information-Regularized Representations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5131-5139
Loss-Driven Bayesian Active Learning
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5140-5148
How to Approximate Inference with Subtractive Mixture Models
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5149-5157
Regularizing attention scores with bootstrapping
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5158-5166
Beyond the Ideal: Analyzing the Inexact Muon Update
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5167-5175
TLDR: Network Inversion for Extreme-Case Training-Like Data Reconstruction
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5176-5184
On the Bias of Variational Resampling
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5185-5193
Empirically Calibrated Conditional Independence Tests
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5194-5202
PowerSoftmax: Towards Secure LLM Inference Over Encrypted Data
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5203-5211
Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5212-5220
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5221-5229
Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5230-5238
Fundamental Limits for Weighted Empirical Approximations of Exponentially Tilted Distributions
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5239-5247
Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5248-5256
TESLA: Taylor Expansion of Sinusoidal Learnable Activations
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5257-5265
Optimal Learning in Games under Delayed Feedback
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5266-5274
Non-Stationary Functional Bilevel Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5275-5283
BOAT: Navigating The Sea of in Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization
; Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, PMLR 300:5284-5292
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