Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows.
Chris CannellaMohammadreza SoltaniVahid TarokhPublished in: CoRR (2020)
Keyphrases
- markov chain monte carlo
- posterior distribution
- latent variables
- gibbs sampling
- pseudo likelihood
- markov chain
- parameter estimation
- generative model
- bayesian inference
- monte carlo
- approximate inference
- posterior probability
- inference in graphical models
- markov chain monte carlo sampling
- random fields
- particle filter
- gibbs sampler
- simulated annealing
- probabilistic model
- particle filtering
- message passing
- markov networks
- dirichlet process
- probability distribution
- hyperparameters
- probabilistic inference
- data association
- conditional probabilities
- bayesian framework
- closed form
- higher order
- search space