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Learning Theory

6,809 papers

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Papers

Implicit degree bias in the link prediction task ICML 2025 Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game JMLR 2025 Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation ICML 2025 Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves ICML 2025 Improved Margin Generalization Bounds for Voting Classifiers COLT 2025 Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE ACL 2025 Improving Diversity in Language Models: When Temperature Fails, Change the Loss ICML 2025 Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice ICML 2025 In-Context Learning and Occam’s Razor ICML 2025 In-Context Reinforcement Learning From Suboptimal Historical Data ICML 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Information Locality as an Inductive Bias for Neural Language Models ACL 2025 Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements ALT 2025 Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback COLT 2025 Intelligence at the Edge of Chaos ICLR 2025 Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models EMNLP 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025 Investigating Motivated Inference in Large Language Models EMNLP 2025 Investigating the Role of Weight Decay in Enhancing Nonconvex SGD CVPR 2025 Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration COLT 2025