Showing results 21 to 40 of 67
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| Publication Date | Article Title | Author(s) |
| Feb-2014 | The fastclime Package for Linear Programming and Large-Scale Precision Matrix Estimation in R. | Pang, Haotian; Liu, Han; Vanderbei, Robert J. |
| 1-Jan-2013 | Feature selection in high-dimensional classification | Kolar, Mladen; Liu, Han |
| 2013 | Feature selection in high-dimensional classification | Kolar, Mladen; Liu, Han |
| 2015 | The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R | Li, Xingguo; Zhao, Tuo; Yuan, Xiaoming; Liu, Han |
| Feb-2017 | A general theory of hypothesis tests and confidence regions for sparse high dimensional models | Ning, Yang; Liu, Han |
| 6-Feb-2015 | Generalized Alternating Direction Method of Multipliers: New Theoretical Insights and Applications | Fang, Ethan X.; He, Bingsheng; Liu, Han; Yuan, Xiaoming |
| 2014 | Graph Estimation From Multi-Attribute Data | Kolar, Mladen; Liu, Han; Xing, Eric P. |
| Jan-2018 | Heterogeneity adjustment with applications to graphical model inference. | Fan, Jianqing; Liu, Han; Wang, Weichen; Zhu, Ziwei |
| Mar-2017 | High dimensional semiparametric latent graphical model for mixed data | Fan, Jianqing; Liu, Han; Ning, Yang; Zou, Hui |
| Oct-2014 | High Dimensional Semiparametric Scale-Invariant Principal Component Analysis | Han, Fang; Liu, Han |
| 19-Mar-2013 | How to draw the line in biomedical research | Huang, Lisa; Rattner, Amir; Liu, Han; Nathans, Jeremy |
| 3-Apr-2018 | I-LAMM FOR SPARSE LEARNING: SIMULTANEOUS CONTROL OF ALGORITHMIC COMPLEXITY AND STATISTICAL ERROR. | Fan, Jianqing; Liu, Han; Sun, Qiang; Zhang, Tong |
| 2016 | Joint estimation of multiple graphical models from high dimensional time series | Qiu, Huitong; Han, Fang; Liu, Han; Caffo, Brian |
| Aug-2018 | LARGE COVARIANCE ESTIMATION THROUGH ELLIPTICAL FACTOR MODELS. | Fan, Jianqing; Liu, Han; Wang, Weichen |
| 1-Jan-2016 | A lasso-based sparse knowledge gradient policy for sequential optimal learning | Li, Yan; Liu, Han; Powell, Warren B. |
| 2015 | Local smoothness in variance reduced optimization | Vainsencher, Daniel; Liu, Han; Zhang, Tong |
| 1-Jan-2015 | Local smoothness in variance reduced optimization | Vainsencher, Daniel; Liu, Han; Zhang, Tong |
| 2016 | Low-rank and sparse structure pursuit via alternating minimization | Gu, Quanquan; Wang, Zhaoran; Liu, Han |
| 2013 | Markov Network Estimation From Multi-attribute Data | Kolar, Mladen; Liu, Han; Xing, Eric P. |
| 2018 | Max-norm optimization for robust matrix recovery | Fang, Ethan X; Liu, Han; Toh, Kim-Chuan; Zhou, Wen-Xin |
