Linear-Time Gibbs Sampling in Piecewise Graphical Models.
Hadi Mohasel AfsharScott SannerEhsan AbbasnejadPublished in: AAAI (2015)
Keyphrases
- gibbs sampling
- graphical models
- approximate inference
- exact inference
- belief networks
- belief propagation
- probabilistic inference
- probabilistic model
- random variables
- probabilistic graphical models
- bayesian networks
- factor graphs
- conditional random fields
- structure learning
- markov chain monte carlo
- variational methods
- markov networks
- em algorithm
- worst case
- expectation maximization
- markov chain
- topic models
- conditional independence
- dynamic bayesian networks
- message passing
- feature selection
- exponential family
- structured prediction
- latent dirichlet allocation
- monte carlo