Sparse permutation invariant covariance estimation

31 January 2008

Elizaveta Levina

Papers citing "Sparse permutation invariant covariance estimation"

29 / 29 papers shown

Title
Network reconstruction via the minimum description length principle Tiago P. Peixoto 18 5 0 02 May 2024
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models Tong Xu Armeen Taeb Simge Kuccukyavuz Ali Shojaie CML 29 1 0 19 Apr 2024
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model Junwei Lu Jin Yin Tianxi Cai 21 3 0 31 May 2023
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series Jitendra Tugnait CML 16 13 0 15 Nov 2021
Covariance Structure Estimation with Laplace Approximation Bongjung Sung Jaeyong Lee CML 20 1 0 04 Nov 2021
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency E. Pavez 9 4 0 31 Oct 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 14 2 0 13 Oct 2021
Learning Graph Laplacian with MCP Yangjing Zhang Kim-Chuan Toh Defeng Sun 12 8 0 22 Oct 2020
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 11 7 0 11 Oct 2018
New Optimisation Methods for Machine Learning Aaron Defazio 25 6 0 09 Oct 2015
Scaling It Up: Stochastic Search Structure Learning in Graphical Models Hao Wang 14 113 0 07 May 2015
Graphical Exponential Screening Zhe Liu 18 2 0 09 Mar 2015
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 27 166 0 17 Dec 2014
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations Hai Shu B. Nan 22 20 0 16 Dec 2014
Covariance and precision matrix estimation for high-dimensional time series Xiaohui Chen Mengyu Xu W. Wu AI4TS 52 146 0 06 Jan 2014
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models Kean Ming Tan Daniela Witten Ali Shojaie 60 71 0 19 Jul 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 52 78 0 09 Apr 2013
High-dimensionality effects in the Markowitz problem and other quadratic programs with linear constraints: Risk underestimation N. Karoui 41 98 0 13 Nov 2012
Discussion: Latent variable graphical model selection via convex optimization Martin J. Wainwright 35 8 0 05 Nov 2012
Projected Subgradient Methods for Learning Sparse Gaussians John C. Duchi Stephen Gould D. Koller 32 155 0 13 Jun 2012
High-dimensional covariance matrix estimation with missing observations Karim Lounici 36 181 0 12 Jan 2012
Sparse Nonparametric Graphical Models John D. Lafferty Han Liu Larry A. Wasserman 44 64 0 04 Jan 2012
An efficiency upper bound for inverse covariance estimation Ronen Eldan 51 5 0 03 Dec 2011
Optimal rates of convergence for covariance matrix estimation Tommaso Cai Cun-Hui Zhang Harrison H. Zhou 48 471 0 19 Oct 2010
High-dimensional covariance estimation based on Gaussian graphical models Shuheng Zhou Philipp Rütimann Min Xu Peter Buhlmann 74 91 0 02 Sep 2010
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 66 203 0 16 May 2009
Regularized estimation of large-scale gene association networks using graphical Gaussian models Nicole Krämer Juliane Schäfer A. Boulesteix 72 97 0 05 May 2009
Estimating time-varying networks Mladen Kolar Le Song Amr Ahmed Eric P. Xing AI4TS 63 308 0 30 Dec 2008
$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 85 870 0 21 Nov 2008