Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms.
Qi LouRina DechterAlexander T. IhlerPublished in: AAAI (2019)
Keyphrases
- monte carlo sampling
- approximate inference
- variational methods
- graphical models
- free energy
- variational approximation
- probabilistic inference
- belief propagation
- message passing
- exact inference
- gaussian process
- parameter estimation
- bayesian networks
- conditional random fields
- latent variables
- probabilistic model
- optical flow
- cross validation
- graph cuts
- particle filter
- markov random field
- np hard
- hidden markov models