Synthesis of MCMC and Belief Propagation.
Sungsoo AhnMichael ChertkovJinwoo ShinPublished in: NIPS (2016)
Keyphrases
- belief propagation
- approximate inference
- graphical models
- message passing
- markov chain monte carlo
- graph cuts
- markov random field
- stereo matching
- expectation propagation
- exact inference
- markov networks
- free energy
- monte carlo
- markov chain
- factor graphs
- loopy belief propagation
- fixed point
- pairwise
- gibbs sampling
- probabilistic model
- probabilistic inference
- importance sampling
- generative model
- energy function
- parameter estimation
- belief networks
- probabilistic graphical models
- nonparametric belief propagation
- bayesian networks
- posterior distribution
- conditional random fields
- high quality
- computer vision