Sample Complexity
282 papers
Papers per year
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11
5
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26
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48
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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