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11/10/2013
Learning Gaussian Graphical Models with Observed or Latent FVSs
Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widel...
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11/05/2012
Rejoinder: Latent variable graphical model selection via convex optimization
Rejoinder to "Latent variable graphical model selection via convex optim...
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03/07/2012
Bayesian Nonparametric Hidden Semi-Markov Models
There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
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11/17/2011
Joint Modeling of Multiple Related Time Series via the Beta Process
We propose a Bayesian nonparametric approach to the problem of jointly m...
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07/08/2011
High-dimensional structure estimation in Ising models: Local separation criterion
We consider the problem of high-dimensional Ising (graphical) model sele...
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05/10/2011
Feedback Message Passing for Inference in Gaussian Graphical Models
While loopy belief propagation (LBP) performs reasonably well for infere...
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09/14/2010
Learning Latent Tree Graphical Models
We study the problem of learning a latent tree graphical model where sam...
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09/28/2009