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Learning Theory

5312 directly classified papers

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Papers

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs AAAI 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Rademacher complexity of neural ODEs via Chen-Fliess series L4DC 2024
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling L4DC 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024
Simplicity Bias in Overparameterized Machine Learning AAAI 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving AAAI 2024
Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024