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Publication DateArticle TitleAuthor(s)
1-Jan-2018Minimax-optimal privacy-preserving sparse PCA in distributed systemsGe, Jason; Wang, Zhaoran; Wang, Mengdi; Liu, Han
2014Multivariate Regression with CalibrationLiu, Han; Wang, Lie; Zhao, Tuo
2018Near-optimal stochastic approximation for online principal component estimationLi, CJ; Wang, Mengdi; Liu, Han; Zhang, T
2015Non-convex statistical optimization for sparse tensor graphical modelSun, W; Wang, Z; Liu, Han; Cheng, G
1-Jan-2015A nonconvex optimization framework for low rank matrix estimationZhao, Tuo; Wang, Zhaoran; Liu, Han
2014Optimal computational and statistical rates of convergence for sparse nonconvex learning problemsWang, Zhaoran; Liu, Han; Zhang, Tong
Feb-2015Optimal Feature Selection in High-Dimensional Discriminant AnalysisKolar, Mladen; Liu, Han
2014Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear ProgrammingRosenblum, Michael; Liu, Han; Yen, En-Hsu
Feb-2016An overview of the estimation of large covariance and precision matricesFan, Jianqing; Liao, Yuan; Liu, Han
2016A partially linear framework for massive heterogeneous dataZhao, Tianqi; Cheng, Guang; Liu, Han
2014Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph EstimationZhao, Tuo; Roeder, Kathryn; Liu, Han
2017Provable sparse tensor decompositionSun, Will Wei; Lu, Junwei; Liu, Han; Cheng, Guang
Aug-2015QUADRO: A supervised dimension reduction method via Rayleigh quotient optimizationFan, Jianqing; Ke, Zheng Tracy; Liu, Han; Xia, Lucy
2016Replicates in high dimensions, with applications to latent variable graphical modelsTan, Kean Ming; Ning, Yang; Witten, Daniela M; Liu, Han
Sep-2016Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methodsVanderbei, Robert J.; Lin, Kevin; Liu, Han; Wang, Lie
Oct-2016Robust inference of risks of large portfoliosFan, Jianqing; Han, Fang; Liu, Han; Vickers, Byron
2014Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical DataHan, Fang; Liu, Han
2016Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain LesionsShou, Haochang; Shinohara, Russell T; Liu, Han; Reich, Daniel S; Crainiceanu, Ciprian M
2014Sparse Covariance Matrix Estimation With Eigenvalue ConstraintsLiu, Han; Wang, Lie; Zhao, Tuo
2016Sparse median graphs estimation in a high-dimensional semiparametric modelHan, Fang; Han, Xiaoyan; Liu, Han; Caffo, Brian