23 citations · 46 across the 2 of their papers we have counts for
2 papers
stat.ML2014★ 23 cited
Learning Latent Variable Gaussian Graphical Models
Zhaoshi Meng, Brian Eriksson, Alfred O. Hero
Gaussian graphical models (GGM) have been widely used in many high-dimensional applications ranging from biological and financial data to recommender systems. Sparsity in GGM plays…
stat.ML2013★ 23 cited
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models
Zhaoshi Meng, Dennis Wei, Ami Wiesel +1
We consider distributed estimation of the inverse covariance matrix, also called the concentration or precision matrix, in Gaussian graphical models. Traditional centralized estima…