Exact covariance thresholding into connected components for large-scale Graphical Lasso

18 August 2011

Papers citing "Exact covariance thresholding into connected components for large-scale Graphical Lasso"

9 / 9 papers shown

Title
On the application of Gaussian graphical models to paired data problems Saverio Ranciati A. Roverato 26 1 0 26 Jul 2023
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency E. Pavez 9 4 0 31 Oct 2021
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso D. Müller C. Czado 16 15 0 15 Sep 2017
Learning Graphs with Monotone Topology Properties and Multiple Connected Components Eduardo Pavez Hilmi E. Egilmez Antonio Ortega 17 54 0 31 May 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 24 55 0 03 Mar 2017
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 22 21 0 23 May 2016
Block-diagonal covariance selection for high-dimensional Gaussian graphical models Emilie Devijver M. Gallopin 14 40 0 12 Nov 2015
Persistent Homology in Sparse Regression and its Application to Brain Morphometry M. Chung J. Hanson Jieping Ye R. Davidson S. Pollak 23 68 0 31 Aug 2014
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models Kean Ming Tan Daniela Witten Ali Shojaie 62 71 0 19 Jul 2013