Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm

v1v2 (latest)

Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm

17 August 2023

ArXiv (abs)PDF HTML

Papers citing "Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm"

16 / 16 papers shown

Title
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models Dapeng Shi Tiandong Wang Zhiliang Ying 30 2 0 16 May 2024
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems Chengjing Wang Peipei Tang 20 3 0 27 Nov 2021
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 78 167 0 31 Jul 2020
Estimation of sparse Gaussian graphical models with hidden clustering structure Meixia Lin Defeng Sun Kim-Chuan Toh Chengjing Wang 31 3 0 17 Apr 2020
Learning Gaussian Graphical Models via Multiplicative Weights Anamay Chaturvedi Jonathan Scarlett 42 3 0 20 Feb 2020
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso Zerui Li Jingtian Bai Weilian Zhou 109 1 0 17 May 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 88 252 0 07 Jun 2016
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation Aaron Defazio T. Caetano 87 40 0 10 Jul 2014
Learning Latent Variable Gaussian Graphical Models Zhaoshi Meng Brian Eriksson Alfred Hero 274 41 0 10 Jun 2014
Learning Graphical Models With Hubs Kean Ming Tan Palma London Karthika Mohan Su-In Lee Maryam Fazel Daniela Witten 89 100 0 28 Feb 2014
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation Cho-Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar 68 343 0 13 Jun 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 138 3,984 0 31 Oct 2012
Fused Multiple Graphical Lasso Sen Yang Zhaosong Lu Xiaotong Shen Peter Wonka Jieping Ye 107 107 0 10 Sep 2012
Sparse Inverse Covariance Selection via Alternating Linearization Methods K. Scheinberg Shiqian Ma Shiqian Ma CML 164 198 0 30 Oct 2010
Smooth Optimization Approach for Sparse Covariance Selection Zhaosong Lu 100 30 0 04 Apr 2009
Regularized estimation of large covariance matrices Peter J. Bickel Elizaveta Levina 388 1,385 0 13 Mar 2008

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.