5 citations · 9 across the 7 of their papers we have counts for
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cs.LG2019
Clustering Gaussian Graphical Models
Keith Dillon
We derive an efficient method to perform clustering of nodes in Gaussian graphical models directly from sample data. Nodes are clustered based on the similarity of their network ne…
cs.LG2019★ 2 cited
On the Computation and Applications of Large Dense Partial Correlation Networks
Keith Dillon
While sparse inverse covariance matrices are very popular for modeling network connectivity, the value of the dense solution is often overlooked. In fact the L2-regularized solutio…