A Contrastive Divergence for Combining Variational Inference and MCMC.
Francisco J. R. RuizMichalis K. TitsiasPublished in: CoRR (2019)
Keyphrases
- variational inference
- posterior distribution
- bayesian inference
- markov chain monte carlo
- approximate inference
- probability distribution
- gaussian process
- topic models
- parameter estimation
- probabilistic model
- latent variables
- closed form
- mixture model
- bayesian framework
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- maximum a posteriori
- prior information
- hyperparameters
- markov chain
- graphical models
- exact inference
- random variables
- monte carlo
- generative model
- expectation maximization
- video sequences
- supervised learning
- particle filter
- posterior probability
- em algorithm
- model selection