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"

10 / 10 papers shown

Title
On the application of Gaussian graphical models to paired data problems Saverio Ranciati A. Roverato 31 1 0 26 Jul 2023
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency E. Pavez 13 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 25 54 0 31 May 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 29 55 0 03 Mar 2017
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 25 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 25 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
Strong rules for discarding predictors in lasso-type problems Robert Tibshirani Jacob Bien J. Friedman Trevor Hastie N. Simon Jonathan E. Taylor R. Tibshirani 54 636 0 09 Nov 2010