Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation.
Justin DomkeDaniel SheldonPublished in: CoRR (2019)
Keyphrases
- monte carlo
- markovian decision
- importance sampling
- markov chain monte carlo
- markov chain
- adaptive sampling
- monte carlo simulation
- image segmentation
- particle filter
- monte carlo methods
- simulation study
- matrix inversion
- monte carlo tree search
- posterior probability
- policy evaluation
- monte carlo method
- optical flow
- variance reduction
- probability distribution
- optimal strategy
- stochastic approximation
- gaussian process
- generative model
- point processes
- posterior distribution
- bayesian framework
- probabilistic model