Showing results 46 to 65 of 67
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Publication Date | Article Title | Author(s) |
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 |
2016 | A partially linear framework for massive heterogeneous data | Zhao, Tianqi; Cheng, Guang; Liu, Han |
2014 | Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph Estimation | Zhao, Tuo; Roeder, Kathryn; Liu, Han |
2017 | Provable sparse tensor decomposition | Sun, Will Wei; Lu, Junwei; Liu, Han; Cheng, Guang |
Aug-2015 | QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization | Fan, Jianqing; Ke, Zheng Tracy; Liu, Han; Xia, Lucy |
2016 | Replicates in high dimensions, with applications to latent variable graphical models | Tan, Kean Ming; Ning, Yang; Witten, Daniela M; Liu, Han |
Sep-2016 | Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods | Vanderbei, Robert J.; Lin, Kevin; Liu, Han; Wang, Lie |
Oct-2016 | Robust inference of risks of large portfolios | Fan, Jianqing; Han, Fang; Liu, Han; Vickers, Byron |
2014 | Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data | Han, Fang; Liu, Han |
2016 | Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions | Shou, Haochang; Shinohara, Russell T; Liu, Han; Reich, Daniel S; Crainiceanu, Ciprian M |
2014 | Sparse Covariance Matrix Estimation With Eigenvalue Constraints | Liu, Han; Wang, Lie; Zhao, Tuo |
2016 | Sparse median graphs estimation in a high-dimensional semiparametric model | Han, Fang; Han, Xiaoyan; Liu, Han; Caffo, Brian |
2012 | Sparse Nonparametric Graphical Models | Lafferty, John; Liu, Han; Wasserman, Larry |
Jun-2013 | Statistical analysis of big data on pharmacogenomics | Fan, Jianqing; Liu, Han |
2017 | Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution | Han, Fang; Liu, Han |
2017 | Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions | Wang, Mengdi; Fang, Ethan X; Liu, Han |
Jan-2014 | A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming | He, Bingsheng; Liu, Han; Wang, Zhaoran; Yuan, Xiaoming |