A Contrastive Divergence for Combining Variational Inference and MCMC.
Francisco J. R. RuizMichalis K. TitsiasPublished in: ICML (2019)
Keyphrases
- variational inference
- posterior distribution
- bayesian inference
- markov chain monte carlo
- approximate inference
- probabilistic model
- probability distribution
- variational methods
- probabilistic graphical models
- parameter estimation
- topic models
- bayesian framework
- gaussian process
- hyperparameters
- latent variables
- generative model
- maximum a posteriori
- latent dirichlet allocation
- graphical models
- markov networks
- restricted boltzmann machine
- gaussian distribution
- closed form
- mixture model
- model selection
- markov chain
- random sampling
- monte carlo
- exact inference