168 citations · 521 across the 24 of their papers we have counts for
4 papers · 1 filter
Selection and Estimation for Mixed Graphical Models
Shizhe Chen, Daniela Witten, Ali Shojaie
We consider the problem of estimating the parameters in a pairwise graphical model in which the distribution of each node, conditioned on the others, may have a different parametri…
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models
Kean Ming Tan, Daniela Witten, Ali Shojaie
We consider the task of estimating a Gaussian graphical model in the high-dimensional setting. The graphical lasso, which involves maximizing the Gaussian log likelihood subject to…
Graph estimation with joint additive models
Arend Voorman, Ali Shojaie, Daniela Witten
In recent years, there has been considerable interest in estimating conditional independence graphs in the high-dimensional setting. Most prior work has assumed that the variables…
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel +2
We consider the problem of estimating high-dimensional Gaussian graphical models corresponding to a single set of variables under several distinct conditions. This problem is motiv…