Dynamic Importance Sampling for Anytime Bounds of the Partition Function.
Qi LouRina DechterAlexander T. IhlerPublished in: NIPS (2017)
Keyphrases
- importance sampling
- partition function
- monte carlo
- markov chain
- approximate inference
- kalman filter
- upper bound
- lower bound
- particle filter
- particle filtering
- bayesian framework
- message passing
- posterior distribution
- markov chain monte carlo
- upper and lower bounds
- maximum likelihood
- cross validation
- markov random field
- machine learning
- latent variables
- prior knowledge