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Learning Theory

5,312 papers

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Papers

A Picture of the Space of Typical Learnable Tasks ICML 2023
Neural networks trained with SGD learn distributions of increasing complexity ICML 2023
Infinite Action Contextual Bandits with Reusable Data Exhaust ICML 2023
Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes ICML 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees ICML 2023
Provably and Practically Efficient Neural Contextual Bandits ICML 2023
Random Teachers are Good Teachers ICML 2023
Deterministic equivalent and error universality of deep random features learning ICML 2023
Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023
Differentiable Tree Operations Promote Compositional Generalization ICML 2023
Tight and fast generalization error bound of graph embedding in metric space ICML 2023
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023
Contextual Conservative Interleaving Bandits ICML 2023
Regret-Minimizing Double Oracle for Extensive-Form Games ICML 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise ICML 2023
Multiplier Bootstrap-based Exploration ICML 2023
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits ICML 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples ICML 2023