8 citations · 10 across the 10 of their papers we have counts for
4 papers · 1 filter
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
Chuhan Xie, Kaicheng Jin, Jiadong Liang +1
We study time-uniform statistical inference for parameters in stochastic approximation (SA), which encompasses a bunch of applications in optimization and machine learning. To that…
Estimation and Inference in Distributional Reinforcement Learning
Liangyu Zhang, Yang Peng, Jiadong Liang +2
In this paper, we study distributional reinforcement learning from the perspective of statistical efficiency. We investigate distributional policy evaluation, aiming to estimate th…
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
Xiang Li, Wenhao Yang, Jiadong Liang +2
We study Q-learning with Polyak-Ruppert averaging in a discounted Markov decision process in synchronous and tabular settings. Under a Lipschitz condition, we establish a functiona…
FedPower: Privacy-Preserving Distributed Eigenspace Estimation
Xiao Guo, Xiang Li, Xiangyu Chang +2
Eigenspace estimation is fundamental in machine learning and statistics, which has found applications in PCA, dimension reduction, and clustering, among others. The modern machine…