Minibatch Gibbs Sampling on Large Graphical Models.
Christopher De SaVincent ChenWing WongPublished in: ICML (2018)
Keyphrases
- gibbs sampling
- graphical models
- approximate inference
- exact inference
- belief networks
- belief propagation
- probabilistic inference
- probabilistic model
- probabilistic graphical models
- random variables
- bayesian networks
- variational methods
- factor graphs
- markov networks
- conditional random fields
- structure learning
- generative model
- markov chain monte carlo
- topic models
- message passing
- conditional independence
- dynamic bayesian networks
- exponential family
- parameter estimation
- markov chain
- structured prediction
- latent variables
- collective classification