Showing results 27 to 46 of 67
< previous
next >
Publication Date | Article Title | Author(s) |
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. |
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 |