81 citations · 86 across the 8 of their papers we have counts for
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stat.ML2014★ 81 cited
Learning Graphical Models With Hubs
Kean Ming Tan, Palma London, Karthik Mohan +3
We consider the problem of learning a high-dimensional graphical model in which certain hub nodes are highly-connected to many other nodes. Many authors have studied the use of an…
stat.ML2013★ 1 cited
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…