Approximation in high-dimensional and nonparametric statistics: a unified approach
Optimal Learning of Patterns from Discrete Samples
Local Moment Matching
Distributed Statistical Estimation of High-dimensional and Nonparametric Distributions
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
Theory and Practice of Differential Entropy Estimation
Entropy Rate Estimation for Markov Chains with Large State Space
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Batched Multi-armed Bandits Problem
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
Optimal Communication Rates and Combinatorial Properties for Distributed Simulation
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
High-accuracy optimality and limitation of the Profile Maximum Likelihood
Learning to Bid in Repeated First-price Auctions