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Learning Theory

5312 directly classified papers

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Papers

A Cross-Domain Benchmark for Active Learning NIPS 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024
Is Child-Directed Speech Effective Training Data for Language Models? EMNLP 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NIPS 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics IJCAI 2023
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning IJCAI 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023
Generalization Analysis for Contrastive Representation Learning ICML 2023
Benign overfitting of non-smooth neural networks beyond lazy training AISTATS 2023
The Power of Uniform Sampling for k-Median ICML 2023
PAC Generalization via Invariant Representations ICML 2023
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption IJCAI 2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation ICML 2023
Atari-5: Distilling the Arcade Learning Environment down to Five Games ICML 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization ICML 2023
Differentiable Tree Operations Promote Compositional Generalization ICML 2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NIPS 2023
On the Role of Attention in Prompt-tuning ICML 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023