Variational refinement for importance sampling using the forward Kullback-Leibler divergence.
Ghassen JerfelSerena WangClara Wong-FannjiangKatherine A. HellerYian MaMichael I. JordanPublished in: UAI (2021)
Keyphrases
- importance sampling
- kullback leibler divergence
- monte carlo
- markov chain
- mutual information
- information theoretic
- probability density function
- information theory
- distance measure
- kalman filter
- particle filter
- particle filtering
- approximate inference
- image segmentation
- marginal distributions
- optical flow
- machine learning
- feature extraction
- graphical models
- bayesian networks
- probabilistic inference
- markov chain monte carlo