Follow
Wenxin Zhou
Wenxin Zhou
Department of Information & Decision Sciences, University of Illinois Chicago
Verified email at uic.edu - Homepage
Title
Cited by
Cited by
Year
Adaptive Huber regression
Q Sun, W Zhou, J Fan
Journal of the American Statistical Association 115 (529), 254-265, 2020
3162020
A max-norm constrained minimization approach to 1-bit matrix completion
T Cai, W Zhou
Journal of Machine Learning Research 14 (114), 3619-3647, 2013
1622013
Matrix completion via max-norm constrained optimization
TT Cai, WX Zhou
Electronic Journal of Statistics 10 (1), 1493-1525, 2016
1332016
Smoothed quantile regression with large-scale inference
X He, X Pan, KM Tan, WX Zhou
Journal of Econometrics 232 (2), 367-388, 2023
982023
A new principle for tuning-free Huber regression
L Wang, C Zheng, W Zhou, WX Zhou
Statistica Sinica 31 (4), 2153-2177, 2021
862021
A new perspective on robust M-estimation: Finite sample theory and applications to dependence-adjusted multiple testing
WX Zhou, K Bose, J Fan, H Liu
The Annals of Statistics 46 (5), 1904--1931, 2018
822018
User-friendly covariance estimation for heavy-tailed distributions
Y Ke, S Minsker, Z Ren, Q Sun, WX Zhou
Statistical Science 34 (3), 454-471, 2019
792019
Principal component analysis for big data
J Fan, Q Sun, WX Zhou, Z Zhu
Wiley StatsRef: Statistics Reference Online, 1-13, 2018
742018
FarmTest: Factor-adjusted robust multiple testing with approximate false discovery control
J Fan, Y Ke, Q Sun, WX Zhou
Journal of the American Statistical Association 114 (528), 1880-1893, 2019
70*2019
Nonparametric covariate-adjusted regression
A Delaigle, P Hall, WX Zhou
The Annals of Statistics 44 (5), 2190-2220, 2016
662016
Simulation‐based hypothesis testing of high dimensional means under covariance heterogeneity
J Chang, C Zheng, WX Zhou, W Zhou
Biometrics 73 (4), 1300-1310, 2017
622017
Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering
J Chang, W Zhou, WX Zhou, L Wang
Biometrics 73 (1), 31-41, 2017
562017
Are discoveries spurious? Distributions of maximum spurious correlations and their applications
J Fan, QM Shao, WX Zhou
The Annals of Statistics 46 (3), 989-1017, 2018
532018
High-dimensional quantile regression: Convolution smoothing and concave regularization
KM Tan, L Wang, WX Zhou
J R Stat Soc Series B. 84 (1), 205-233, 2022
482022
Robust inference via multiplier bootstrap
X Chen, WX Zhou
The Annals of Statistics 48 (3), 1665-1691, 2020
442020
Cramér type moderate deviation theorems for self-normalized processes
QM Shao, WX Zhou
Bernoulli 22 (4), 2029-2079, 2016
422016
Necessary and sufficient conditions for the asymptotic distributions of coherence of ultra-high dimensional random matrices
QM Shao, WX Zhou
The Annals of Probability 42 (2), 623-648, 2014
372014
Max-norm optimization for robust matrix recovery
EX Fang, H Liu, KC Toh, WX Zhou
Mathematical Programming 167, 5-35, 2018
312018
Iteratively reweighted -penalized robust regression
X Pan, Q Sun, WX Zhou
Electronic Journal of Statistics 15 (1), 3287-3348, 2021
29*2021
Communication-constrained distributed quantile regression with optimal statistical guarantees
KM Tan, H Battey, WX Zhou
Journal of Machine Learning Research 23 (272), 1-61, 2022
262022
The system can't perform the operation now. Try again later.
Articles 1–20