Learning Latent Variable Gaussian Graphical Models

10 June 2014

Papers citing "Learning Latent Variable Gaussian Graphical Models"

8 / 8 papers shown

Title
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm Chengjing Wang Peipei Tang Wen-Bin He Meixia Lin 33 0 0 17 Aug 2023
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 28 10 0 28 Oct 2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition Hongyuan Zhan Kamesh Madduri V. Shankar 10 0 0 22 Aug 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Accounting for missing actors in interaction network inference from abundance data Raphaelle Momal Stephane S. Robin Christophe Ambroise CML 21 5 0 28 Jul 2020
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 19 67 0 14 Mar 2019
Learning Restricted Boltzmann Machines via Influence Maximization Guy Bresler Frederic Koehler Ankur Moitra Elchanan Mossel AI4CE 20 29 0 25 May 2018
Unsupervised Learning with Truncated Gaussian Graphical Models Qinliang Su X. Liao Chunyuan Li Zhe Gan Lawrence Carin 16 8 0 15 Nov 2016