Approximate Inference with Amortised MCMC.
Yingzhen LiRichard E. TurnerQiang LiuPublished in: CoRR (2017)
Keyphrases
- approximate inference
- markov chain monte carlo
- graphical models
- belief propagation
- probabilistic inference
- exact inference
- gaussian process
- parameter estimation
- message passing
- gibbs sampling
- loopy belief propagation
- variational methods
- latent variables
- expectation propagation
- bayesian networks
- probabilistic graphical models
- factor graphs
- dynamic bayesian networks
- probabilistic model
- importance sampling
- conditional random fields
- structured prediction
- free energy
- variational approximation
- model selection
- maximum likelihood
- markov random field
- pairwise
- image sequences