Variational approximation for importance sampling.

Xiao Su Yuguo Chen

Published in: Comput. Stat. (2021)

Keyphrases

importance sampling
approximate inference
graphical models
monte carlo
probabilistic inference
latent variables

gaussian process
belief propagation
posterior distribution
markov chain
parameter estimation
message passing

bayesian networks
particle filter
conditional random fields
kalman filter
markov chain monte carlo

particle filtering
object tracking
active learning
computer vision
bayesian inference