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Showing results 33 to 52 of 67 < previous   next >
Publication DateArticle TitleAuthor(s)
2016Joint estimation of multiple graphical models from high dimensional time seriesQiu, Huitong; Han, Fang; Liu, Han; Caffo, Brian
Aug-2018LARGE COVARIANCE ESTIMATION THROUGH ELLIPTICAL FACTOR MODELS.Fan, Jianqing; Liu, Han; Wang, Weichen
1-Jan-2016A lasso-based sparse knowledge gradient policy for sequential optimal learningLi, Yan; Liu, Han; Powell, Warren B.
2015Local smoothness in variance reduced optimizationVainsencher, Daniel; Liu, Han; Zhang, Tong
1-Jan-2015Local smoothness in variance reduced optimizationVainsencher, Daniel; Liu, Han; Zhang, Tong
2016Low-rank and sparse structure pursuit via alternating minimizationGu, Quanquan; Wang, Zhaoran; Liu, Han
2013Markov Network Estimation From Multi-attribute DataKolar, Mladen; Liu, Han; Xing, Eric P.
2018Max-norm optimization for robust matrix recoveryFang, Ethan X; Liu, Han; Toh, Kim-Chuan; Zhou, Wen-Xin
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