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Inference for Heteroskedastic PCA with Missing Data


Jul 26, 2021
Yuling Yan, Yuxin Chen, Jianqing Fan


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Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model


May 28, 2021
Bingyan Wang, Yuling Yan, Jianqing Fan


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The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases


Jan 06, 2021
Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan


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Spectral Methods for Data Science: A Statistical Perspective


Dec 15, 2020
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma


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Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction


Nov 08, 2020
Jianqing Fan, Ricardo P. Masini, Marcelo C. Medeiros


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Recent Developments on Factor Models and its Applications in Econometric Learning


Sep 21, 2020
Jianqing Fan, Kunpeng Li, Yuan Liao


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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution


Aug 04, 2020
Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan


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Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model


Jul 16, 2020
Jianqing Fan, Zhuoran Yang, Mengxin Yu


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An $\ell_p$ theory of PCA and spectral clustering


Jun 24, 2020
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang

* 67 pages 

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Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data


Jan 15, 2020
Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan


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SIMPLE: Statistical Inference on Membership Profiles in Large Networks


Oct 03, 2019
Jianqing Fan, Yingying Fan, Xiao Han, Jinchi Lv

* 60 pages, 3 figures 

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Communication-Efficient Accurate Statistical Estimation


Jun 12, 2019
Jianqing Fan, Yongyi Guo, Kaizheng Wang


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Inference and Uncertainty Quantification for Noisy Matrix Completion


Jun 10, 2019
Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan


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Low-Rank Principal Eigenmatrix Analysis


Apr 28, 2019
Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu


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A Selective Overview of Deep Learning


Apr 15, 2019
Jianqing Fan, Cong Ma, Yiqiao Zhong


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Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization


Feb 20, 2019
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan


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Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices


Nov 30, 2018
Yuxin Chen, Chen Cheng, Jianqing Fan


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Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval


Aug 21, 2018
Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang

* 75 pages 

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Robust high dimensional factor models with applications to statistical machine learning


Aug 12, 2018
Jianqing Fan, Kaizheng Wang, Yiqiao Zhong, Ziwei Zhu

* 41 pages 

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Tensor Methods for Additive Index Models under Discordance and Heterogeneity


Jul 17, 2018
Krishnakumar Balasubramanian, Jianqing Fan, Zhuoran Yang


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Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking


Jul 04, 2018
Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang

* Add discussions on the setting of the general condition number 

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Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval


Mar 21, 2018
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma


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A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models


Feb 14, 2017
Jianqing Fan, Yang Feng, Lucy Xia

* 35 pages, 7 figures 

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Sufficient Forecasting Using Factor Models


Dec 24, 2015
Jianqing Fan, Lingzhou Xue, Jiawei Yao

* 37 pages, 3 figures 

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Strong oracle optimality of folded concave penalized estimation


Apr 02, 2015
Jianqing Fan, Lingzhou Xue, Hui Zou

* Annals of Statistics 2014, Vol. 42, No. 3, 819-849 
* Published in at http://dx.doi.org/10.1214/13-AOS1198 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org). With Corrections 

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Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification


Jan 02, 2015
Jianqing Fan, Yang Feng, Jiancheng Jiang, Xin Tong

* 30 pages, 2 figures 

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Challenges of Big Data Analysis


Dec 15, 2014
Jianqing Fan, Fang Han, Han Liu

* National Science Review, 1:293-324, 2014 

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High Dimensional Semiparametric Latent Graphical Model for Mixed Data


Apr 29, 2014
Jianqing Fan, Han Liu, Yang Ning, Hui Zou

* 34 pages, 2 figures, 4 tables 

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Sure independence screening in generalized linear models with NP-dimensionality


Nov 13, 2012
Jianqing Fan, Rui Song

* Annals of Statistics 2010, Vol. 38, No. 6, 3567-3604 
* Published in at http://dx.doi.org/10.1214/10-AOS798 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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A ROAD to Classification in High Dimensional Space


Nov 09, 2011
Jianqing Fan, Yang Feng, Xin Tong

* 26 pages 

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