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Learning Theory

5,312 papers

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Papers

How Does Information Bottleneck Help Deep Learning? ICML 2023
Learnability and Algorithm for Continual Learning ICML 2023
Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023
Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Generalization Analysis for Contrastive Representation Learning ICML 2023
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation ICML 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning ICML 2023
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023
Does a Neural Network Really Encode Symbolic Concepts? ICML 2023
Optimal Arms Identification with Knapsacks ICML 2023
Consistency of Multiple Kernel Clustering ICML 2023
Theory on Forgetting and Generalization of Continual Learning ICML 2023
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary ICML 2023
High Probability Convergence of Stochastic Gradient Methods ICML 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023