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