Skip to main content

Browsing by Author Liu, Han

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 19 to 38 of 67 < previous   next >
Publication DateArticle TitleAuthor(s)
1-Dec-2012Exponential Concentration for Mutual Information Estimation with Application to ForestsLiu, Han; Lafferty, John; Wasserman, Larry
2012Exponential Concentration for Mutual Information Estimation with Application to ForestsLiu, Han; Lafferty, John; Wasserman, Larry
Feb-2014The fastclime Package for Linear Programming and Large-Scale Precision Matrix Estimation in R.Pang, Haotian; Liu, Han; Vanderbei, Robert J.
1-Jan-2013Feature selection in high-dimensional classificationKolar, Mladen; Liu, Han
2013Feature selection in high-dimensional classificationKolar, Mladen; Liu, Han
2015The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in RLi, Xingguo; Zhao, Tuo; Yuan, Xiaoming; Liu, Han
Feb-2017A general theory of hypothesis tests and confidence regions for sparse high dimensional modelsNing, Yang; Liu, Han
6-Feb-2015Generalized Alternating Direction Method of Multipliers: New Theoretical Insights and ApplicationsFang, Ethan X.; He, Bingsheng; Liu, Han; Yuan, Xiaoming
2014Graph Estimation From Multi-Attribute DataKolar, Mladen; Liu, Han; Xing, Eric P.
Jan-2018Heterogeneity adjustment with applications to graphical model inference.Fan, Jianqing; Liu, Han; Wang, Weichen; Zhu, Ziwei
Mar-2017High dimensional semiparametric latent graphical model for mixed dataFan, Jianqing; Liu, Han; Ning, Yang; Zou, Hui
Oct-2014High Dimensional Semiparametric Scale-Invariant Principal Component AnalysisHan, Fang; Liu, Han
19-Mar-2013How to draw the line in biomedical researchHuang, Lisa; Rattner, Amir; Liu, Han; Nathans, Jeremy
3-Apr-2018I-LAMM FOR SPARSE LEARNING: SIMULTANEOUS CONTROL OF ALGORITHMIC COMPLEXITY AND STATISTICAL ERROR.Fan, Jianqing; Liu, Han; Sun, Qiang; Zhang, Tong
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