Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.
Christopher De SaCe ZhangKunle OlukotunChristopher RéPublished in: NIPS (2015)
Keyphrases
- gibbs sampling
- approximate inference
- factor graphs
- exact inference
- graphical models
- belief propagation
- probabilistic inference
- parameter estimation
- topic models
- latent variables
- message passing
- markov chain
- probabilistic graphical models
- expectation maximization
- em algorithm
- latent dirichlet allocation
- belief networks
- gaussian process
- bayesian networks
- class labels
- variational methods
- structured prediction
- markov random field