17 citations · 42 across the 5 of their papers we have counts for
Showing stat.COShow all
2 papers · 1 filter
stat.CO2014★ 17 cited
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang-Yun Oh, Onkar Dalal, Kshitij Khare +1
Sparse high dimensional graphical model selection is a popular topic in contemporary machine learning. To this end, various useful approaches have been proposed in the context of $…
stat.CO2014★ 9 cited
G-AMA: Sparse Gaussian graphical model estimation via alternating minimization
Onkar Dalal, Bala Rajaratnam
Several methods have been recently proposed for estimating sparse Gaussian graphical models using regularization on the inverse covariance matrix. Despite recent advance…