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Sample Complexity

282 papers

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Papers

Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Pure Exploration with Feedback Graphs AISTATS 2025 Rates for Offline Reinforcement Learning with Adaptively Collected Data L4DC 2025 Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control AISTATS 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024 Computation-information gap in high-dimensional clustering COLT 2024 Demonstration-Regularized RL ICLR 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 Identification of mixtures of discrete product distributions in near-optimal sample and time complexity COLT 2024 Improved Sample Complexity for Multiclass PAC Learning NeurIPS 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Learning Accurate and Interpretable Decision Trees UAI 2024 Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random NeurIPS 2024 Metalearning with Very Few Samples Per Task COLT 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NeurIPS 2024