Graphical Nonconvex Optimization for Optimal Estimation in Gaussian
Graphical Models

Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models

4 June 2017

Tong Zhang

Papers citing "Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models"

11 / 11 papers shown

Title
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 77 249 0 07 Jun 2016
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 60 115 0 03 Jul 2015
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions Yichen Chen Dongdong Ge Mengdi Wang Zizhuo Wang Yinyu Ye Hao Yin 525 10 0 04 Jan 2015
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 275 516 0 10 May 2013
Estimating Sparse Precision Matrix: Optimal Rates of Convergence and Adaptive Estimation T. Tony Cai Weidong Liu Harrison H. Zhou 99 208 0 12 Dec 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 82 407 0 10 Feb 2012
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 325 3,557 0 25 Feb 2010
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 243 874 0 21 Nov 2008
Regularized estimation of large covariance matrices Peter J. Bickel Elizaveta Levina 369 1,385 0 13 Mar 2008
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 561 907 0 31 Jan 2008
Sparsistency and rates of convergence in large covariance matrix estimation Clifford Lam Jianqing Fan 210 609 0 26 Nov 2007