Showing results 20 to 39 of 47
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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. |
| 2013 | Feature selection in high-dimensional classification | Kolar, Mladen; Liu, Han |
| 1-Jan-2013 | Feature selection in high-dimensional classification | Kolar, Mladen; 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. |
| 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 |
| 2016 | Joint estimation of multiple graphical models from high dimensional time series | Qiu, Huitong; Han, Fang; Liu, Han; Caffo, Brian |
| 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 |
| 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 |
