Wenxin Zhou

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Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityE-mail confirmado em princeton.edu
Kean Ming TanDepartment of Statistics, University of MichiganE-mail confirmado em umich.edu
Yuan KeUniversity of GeorgiaE-mail confirmado em uga.edu
Qi-Man SHAOThe Chinese University of Hong KongE-mail confirmado em cuhk.edu.hk
Chao ZhengUniversity of SouthamptonE-mail confirmado em southampton.ac.uk
Xuming HeWashington University in St. LouisE-mail confirmado em wustl.edu
Jinyuan Chang (常晋源)Southwestern University of Finance and Economics, Chinese Academy of SciencesE-mail confirmado em swufe.edu.cn
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaE-mail confirmado em wharton.upenn.edu
Zhao RenUniversity of PittsburghE-mail confirmado em pitt.edu
Stanislav MinskerUniversity of Southern CaliforniaE-mail confirmado em usc.edu
Aurore DelaigleUniversity of MelbourneE-mail confirmado em unimelb.edu.au
Lan WangCentennial Endowed Professor, University of MiamiE-mail confirmado em mbs.miami.edu
Ziwei ZhuDepartment of Statistics, University of Michigan, Ann ArborE-mail confirmado em umich.edu
Xi ChenProfessor at New York UniversityE-mail confirmado em nyu.edu
Ethan X. FangAssociate Professor at Duke UniversityE-mail confirmado em duke.edu
Fang HanAssociate Professor of Statistics, University of WashingtonE-mail confirmado em uw.edu
Yihong GuPrinceton UniversityE-mail confirmado em princeton.edu
Qiang SunProfessor of Statistics and Computer Science, University of Toronto & MBZUAIE-mail confirmado em utoronto.ca

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Wenxin Zhou

Department of Information & Decision Sciences, University of Illinois Chicago

E-mail confirmado em uic.edu - Página inicial

Statistics Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Adaptive Huber regression Q Sun, W Zhou, J Fan Journal of the American Statistical Association 115 (529), 254-265, 2020	347	2020
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	165	2013
Matrix completion via max-norm constrained optimization TT Cai, WX Zhou Electronic Journal of Statistics 10 (1), 1493-1525, 2016	136	2016
Smoothed quantile regression with large-scale inference X He, X Pan, KM Tan, WX Zhou Journal of Econometrics 232 (2), 367-388, 2023	112	2023
A new principle for tuning-free Huber regression L Wang, C Zheng, W Zhou, WX Zhou Statistica Sinica 31 (4), 2153-2177, 2021	91	2021
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	86	2019
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	86	2018
Principal component analysis for big data J Fan, Q Sun, WX Zhou, Z Zhu Wiley StatsRef: Statistics Reference Online, 1-13, 2018	78	2018
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	72*	2019
Nonparametric covariate-adjusted regression A Delaigle, P Hall, WX Zhou The Annals of Statistics 44 (5), 2190-2220, 2016	69	2016
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	64	2017
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	62	2017
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	59	2022
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	55	2018
Robust inference via multiplier bootstrap X Chen, WX Zhou The Annals of Statistics 48 (3), 1665-1691, 2020	46	2020
Cramér type moderate deviation theorems for self-normalized processes QM Shao, WX Zhou Bernoulli 22 (4), 2029-2079, 2016	44	2016
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	40	2014
Max-norm optimization for robust matrix recovery EX Fang, H Liu, KC Toh, WX Zhou Mathematical Programming 167, 5-35, 2018	32	2018
Iteratively reweighted -penalized robust regression X Pan, Q Sun, WX Zhou Electronic Journal of Statistics 15 (1), 3287-3348, 2021	30*	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	29	2022

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