Theory

Minimax Linear Regression under the Quantile Risk COLT 2024 Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods ICLR 2024 Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024 Minimum width for universal approximation using ReLU networks on compact domain ICLR 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ICLR 2024 Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes NeurIPS 2024 MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding NeurIPS 2024 Model Collapse Demystified: The Case of Regression NeurIPS 2024 Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NeurIPS 2024 Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 Multiclass Online Learnability under Bandit Feedback ALT 2024 MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge IJCAI 2024 Multi-model Ensemble Conformal Prediction in Dynamic Environments NeurIPS 2024 Multi-Sender Persuasion: A Computational Perspective ICML 2024 Multi-Winner Reconfiguration NeurIPS 2024 Musical Phrase Segmentation via Grammatical Induction IJCAI 2024 MVBench: A Comprehensive Multi-modal Video Understanding Benchmark CVPR 2024 MVP: Minimal Viable Phrase for Long Text Understanding COLING 2024 Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits NeurIPS 2024 Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies ACL 2024 Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024 Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024