Showing results 30 to 49 of 67
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| Publication Date | Article Title | Author(s) |
| 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. |
| 1-Jan-2015 | Local smoothness in variance reduced optimization | Vainsencher, Daniel; Liu, Han; Zhang, Tong |
| 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 |
| 1-Jan-2018 | Minimax-optimal privacy-preserving sparse PCA in distributed systems | Ge, Jason; Wang, Zhaoran; Wang, Mengdi; Liu, Han |
| 2014 | Multivariate Regression with Calibration | Liu, Han; Wang, Lie; Zhao, Tuo |
| 2018 | Near-optimal stochastic approximation for online principal component estimation | Li, CJ; Wang, Mengdi; Liu, Han; Zhang, T |
| 2015 | Non-convex statistical optimization for sparse tensor graphical model | Sun, W; Wang, Z; Liu, Han; Cheng, G |
| 1-Jan-2015 | A nonconvex optimization framework for low rank matrix estimation | Zhao, Tuo; Wang, Zhaoran; Liu, Han |
| 2014 | Optimal computational and statistical rates of convergence for sparse nonconvex learning problems | Wang, Zhaoran; Liu, Han; Zhang, Tong |
| Feb-2015 | Optimal Feature Selection in High-Dimensional Discriminant Analysis | Kolar, Mladen; Liu, Han |
| 2014 | Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming | Rosenblum, Michael; Liu, Han; Yen, En-Hsu |
| Feb-2016 | An overview of the estimation of large covariance and precision matrices | Fan, Jianqing; Liao, Yuan; Liu, Han |
