Co-occurring keywords · papers mentioning both
Papers
Testification of Condorcet Winners in dueling bandits
UAI 2021
Testing Product Distributions: A Closer Look
ALT 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
NeurIPS 2021
The Sample Complexity of Level Set Approximation
AISTATS 2021
The Sample Complexity of Meta Sparse Regression
AISTATS 2021
The Sample Complexity of Robust Covariance Testing
COLT 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning
AAAI 2021
The Teaching Dimension of Kernel Perceptron
AISTATS 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
ICML 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021
Top-m identification for linear bandits
AISTATS 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
NeurIPS 2021
Towards Sample-efficient Overparameterized Meta-learning
NeurIPS 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
NeurIPS 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
ICML 2021
Uncertain Decisions Facilitate Better Preference Learning
NeurIPS 2021
Variance-dependent best arm identification
UAI 2021
Weak learning convex sets under normal distributions
COLT 2021
What are the Statistical Limits of Offline RL with Linear Function Approximation?
ICLR 2021
What Matters for Adversarial Imitation Learning?
NeurIPS 2021
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
ICLR 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
NeurIPS 2021
A Computational Separation between Private Learning and Online Learning
NeurIPS 2020
Active Model Estimation in Markov Decision Processes
UAI 2020