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Learning Theory

5,334 papers

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Papers

Spectral Pruning for Recurrent Neural Networks AISTATS 2022
On Margins and Derandomisation in PAC-Bayes AISTATS 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality AISTATS 2022
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022
Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent AISTATS 2022
How to Learn when Data Gradually Reacts to Your Model AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis AISTATS 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022
Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022
Using time-series privileged information for provably efficient learning of prediction models AISTATS 2022
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions AISTATS 2022
PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022
Conditional Linear Regression for Heterogeneous Covariances AISTATS 2022
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022
Provable Lifelong Learning of Representations AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
PAC Top-$k$ Identification under SST in Limited Rounds AISTATS 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Efficient interventional distribution learning in the PAC framework AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Vanishing Curvature in Randomly Initialized Deep ReLU Networks AISTATS 2022