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Learning Graphical Models With Hubs

28 February 2014

Papers citing "Learning Graphical Models With Hubs"

24 / 24 papers shown

Title
Fairness-Aware Estimation of Graphical Models Zhuoping Zhou Davoud Ataee Tarzanagh Bojian Hou Qi Long Li Shen 81 0 0 30 Aug 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 94 0 0 18 Aug 2024
A modelling framework for detecting and leveraging node-level information in Bayesian network inference Xiaoyue Xi H. Ruffieux 29 1 0 06 Sep 2023
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm Chengjing Wang Peipei Tang Wen-Bin He Meixia Lin 100 0 0 17 Aug 2023
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 58 1 0 11 Oct 2021
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 62 2 0 07 Jul 2021
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks C. E. Graafland J. Gutiérrez 93 5 0 28 Jun 2021
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models M. Abolfazli A. Høst-Madsen Igor Molybog A. Bratincsák 20 5 0 04 Feb 2021
Sparse principal component regression via singular value decomposition approach Shuichi Kawano 44 5 0 21 Feb 2020
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 64 13 0 25 Jun 2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks Kean Ming Tan Junwei Lu Tong Zhang Han Liu 48 1 0 28 May 2019
Estimating Sparse Networks with Hubs Annaliza McGillivray Abbas Khalili D. Stephens 47 5 0 20 Apr 2019
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables Marina Vinyes G. Obozinski CML 46 2 0 20 Jul 2018
Group Invariance and Computational Sufficiency Vincent Q. Vu 45 1 0 16 Jul 2018
Model-based Clustering with Sparse Covariance Matrices Michael Fop T. B. Murphy Luca Scrucca 78 39 0 21 Nov 2017
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso Zerui Li Jingtian Bai Weilian Zhou 114 1 0 17 May 2017
A structural Markov property for decomposable graph laws that allows control of clique intersections P. Green Alun Thomas 52 7 0 01 May 2017
On the Sample Complexity of Graphical Model Selection for Non-Stationary Processes Nguyen Tran Quang Oleksii Abramenko A. Jung 149 4 0 17 Jan 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
Network Inference by Learned Node-Specific Degree Prior Qingming Tang Lifu Tu Weiran Wang Jinbo Xu 115 0 0 07 Feb 2016
Learning Nonparametric Forest Graphical Models with Prior Information Yuancheng Zhu Zhe Liu S. Sun 96 2 0 12 Nov 2015
Learning from Pairwise Marginal Independencies J. Textor Alexander Idelberger Maciej Liskiewicz CML 88 10 0 02 Aug 2015
Learning Scale-Free Networks by Dynamic Node-Specific Degree Prior Qingming Tang S. Sun Jinbo Xu 126 1 0 07 Mar 2015
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 103 32 0 30 Dec 2014