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Learning Theory

5,312 papers

Papers per year

Papers

Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation ICML 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity ICML 2022
Minimax Regret for Cascading Bandits NIPS 2022
Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
The Sample Complexity of One-Hidden-Layer Neural Networks NIPS 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022
Towards Bridging Sample Complexity and Model Capacity AAAI 2022
On the Frequency-bias of Coordinate-MLPs NIPS 2022
Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022
A Theoretical Framework for Inference Learning NIPS 2022
No-Regret Learning in Partially-Informed Auctions ICML 2022
Robust Model Selection and Nearly-Proper Learning for GMMs NIPS 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NIPS 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling ICML 2022
Optimal Weak to Strong Learning NIPS 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs NIPS 2022
Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022
Popular decision tree algorithms are provably noise tolerant ICML 2022
Learnability of Competitive Threshold Models IJCAI 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets ICML 2022
A Few More Examples May Be Worth Billions of Parameters EMNLP 2022
Self-training Converts Weak Learners to Strong Learners in Mixture Models AISTATS 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks ICML 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 2022