1 citations · 2 across the 6 of their papers we have counts for
6 papers
Nonparametric Goodness-of-fit Testing under Covariate Shift
Zhen Hou, Dong Xia
This paper develops procedures for nonparametric goodness-of-fit testing under covariate shift, where labelled data are drawn from a source population but goodness-of-fit is evalua…
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
Jingyang Li, T. Tony Cai, Dong Xia +1
Federated Learning (FL) has gained significant recent attention in machine learning for its enhanced privacy and data security, making it indispensable in fields such as healthcare…
Online Policy Learning and Inference by Matrix Completion
Congyuan Duan, Jingyang Li, Dong Xia
Is it possible to make online decisions when personalized covariates are unavailable? We take a collaborative-filtering approach for decision-making based on collective preferences…
Online Quantile Regression
Yinan Shen, Dong Xia, Wen-Xin Zhou
This paper addresses the challenge of integrating sequentially arriving data within the quantile regression framework, where the number of features is allowed to grow with the numb…
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
T. Tony Cai, Dong Xia, Mengyue Zha
Estimating a covariance matrix and its associated principal components is a fundamental problem in contemporary statistics. While optimal estimation procedures have been developed…
Quantile and pseudo-Huber Tensor Decomposition
Yinan Shen, Dong Xia
This paper studies the computational and statistical aspects of quantile and pseudo-Huber tensor decomposition. The integrated investigation of computational and statistical issues…