Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints.
Daniel J. RosenkrantzMadhav V. MaratheRavi SundaramAnil VullikantiPublished in: UAI (2014)
Keyphrases
- bayesian inference
- graphical models
- probabilistic model
- statistical inference
- markov networks
- belief propagation
- approximate inference
- probabilistic graphical models
- probabilistic inference
- bayesian networks
- prior information
- hyperparameters
- bounded treewidth
- random variables
- conditional random fields
- generative model
- belief networks
- structure learning
- latent variables
- hidden variables
- upper bound
- factor graphs
- message passing
- search space
- random fields
- mixture model
- conditional independence
- loopy belief propagation
- expectation maximization
- first order logic
- topic models
- exponential family
- statistical relational learning