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Showing results 28 to 47 of 67 < previous   next >
Publication DateArticle TitleAuthor(s)
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
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