Sample Complexity
282 papers
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Papers
Promises and Pitfalls of Threshold-based Auto-labeling
NeurIPS 2023
Quantum Channel Certification with Incoherent Measurements
COLT 2023
Revisiting Sample Size Determination in Natural Language Understanding
ACL 2023
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
ICLR 2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
NeurIPS 2023
Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes
COLT 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
NeurIPS 2023
SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians
COLT 2023
Statistical and Computational Limits for Tensor-on-Tensor Association Detection
COLT 2023
The Role of Coverage in Online Reinforcement Learning
ICLR 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
COLT 2023
Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields
COLT 2023
When is Agnostic Reinforcement Learning Statistically Tractable?
NeurIPS 2023
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
NeurIPS 2022
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
COLT 2022
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
NeurIPS 2022
Estimation of Entropy in Constant Space with Improved Sample Complexity
NeurIPS 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support
NeurIPS 2022
Linear Label Ranking with Bounded Noise
NeurIPS 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
NeurIPS 2022
Near optimal efficient decoding from pooled data
COLT 2022
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
ICLR 2022
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
COLT 2022
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals
COLT 2022
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
COLT 2022