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

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

17 August 2023

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

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Title
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models Dapeng Shi Tiandong Wang Zhiliang Ying 32 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 22 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 90 252 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