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