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Sample Complexity

282 papers

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Papers

New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024 Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024 On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) NeurIPS 2024 On the sample complexity of parameter estimation in logistic regression with normal design COLT 2024 On the sample complexity of privately learning half-spaces ACML 2024 Open Problem: Tight Characterization of Instance-Optimal Identity Testing COLT 2024 Optimal Multi-Distribution Learning COLT 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Preference-based Pure Exploration NeurIPS 2024 Principal eigenstate classical shadows COLT 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Provable Advantage in Quantum PAC Learning COLT 2024 Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma NeurIPS 2024 Sample Complexity of Interventional Causal Representation Learning NeurIPS 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 The Power of Resets in Online Reinforcement Learning NeurIPS 2024