Learning Theory

Minimum width for universal approximation using ReLU networks on compact domain ICLR 2024 Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024 Model Assessment and Selection under Temporal Distribution Shift ICML 2024 Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data ICML 2024 Modeling probabilistic reduction across domains with Naive Discriminative Learning Interspeech 2024 Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks ICML 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024 More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning ICML 2024 More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory ICLR 2024 More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs NeurIPS 2024 MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models EMNLP 2024 Multiclass Learnability Does Not Imply Sample Compression ALT 2024 Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024 Multiclass Transductive Online Learning NeurIPS 2024 Multi-group Learning for Hierarchical Groups ICML 2024 Multigroup Robustness ICML 2024 Multi-Label Learning with Stronger Consistency Guarantees NeurIPS 2024 Multiple Descent in the Multiple Random Feature Model JMLR 2024 Multi-Reward Best Policy Identification NeurIPS 2024 Multi-Task Transfer Matters During Instruction-Tuning ACL 2024 Multi-View Stochastic Block Models ICML 2024 Musical Phrase Segmentation via Grammatical Induction IJCAI 2024 MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ICLR 2024