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Learning Theory

5312 directly classified papers

Papers per year

Papers

Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Gradient-Variation Online Learning under Generalized Smoothness NIPS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving AAAI 2024
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024
Parameterized Complexity of Kidney Exchange Revisited IJCAI 2024
Evaluating Extrapolation Ability of Large Language Model in Chemical Domain ACL 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation IJCAI 2024
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO IJCAI 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning ACL 2024
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NIPS 2024
Learning via Surrogate PAC-Bayes NIPS 2024
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024
Is Efficient PAC Learning Possible with an Oracle That Responds "Yes" or "No"? COLT 2024
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers ACL 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NIPS 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking EMNLP 2024
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization IJCAI 2024