Concise Derivation for Generalized Approximate Message Passing Using Expectation Propagation.
Qiuyun ZouHaochuan ZhangChao-Kai WenShi JinRong YuPublished in: IEEE Signal Process. Lett. (2018)
Keyphrases
- noise level
- expectation propagation
- message passing
- approximate inference
- belief propagation
- inference in graphical models
- probabilistic inference
- graphical models
- gaussian process
- hyperparameters
- exact inference
- loopy belief propagation
- distributed systems
- markov random field
- dynamic bayesian networks
- density estimation
- graph cuts
- bayesian inference
- free energy
- junction tree
- bayesian networks
- variational bayes
- belief networks
- latent variables
- parameter estimation
- markov chain monte carlo
- depth map
- feature vectors