1.5k citations · 2.5k across the 10 of their papers we have counts for
Showing 2012Show all
3 papers · 1 filter
cs.LG2012★ 84 cited
Bayesian structure learning using dynamic programming and MCMC
Daniel Eaton, Kevin Murphy
MCMC methods for sampling from the space of DAGs can mix poorly due to the local nature of the proposals that are commonly used. It has been shown that sampling from the space of n…
stat.ML2012★ 26 cited
Group Sparse Priors for Covariance Estimation
Benjamin Marlin, Mark Schmidt, Kevin Murphy
Recently it has become popular to learn sparse Gaussian graphical models (GGMs) by imposing l1 or group l1,2 penalties on the elements of the precision matrix. Thispenalized likeli…
stat.ML2012★ 30 cited
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt, Kevin Murphy
We outline a representation for discrete multivariate distributions in terms of interventional potential functions that are globally normalized. This representation can be used to…