Extended Variational Message Passing for Automated Approximate Bayesian Inference.
Semih AkbayrakIvan BocharovBert de VriesPublished in: Entropy (2021)
Keyphrases
- message passing
- bayesian inference
- inference in graphical models
- sum product
- sum product algorithm
- expectation propagation
- approximate inference
- belief propagation
- variational approximation
- probabilistic model
- graphical models
- hyperparameters
- markov chain monte carlo
- distributed systems
- prior information
- probabilistic inference
- factor graphs
- junction tree
- markov random field
- shared memory
- gaussian process
- markov networks
- free energy
- distributed shared memory
- graph cuts
- generalized belief propagation
- loopy belief propagation
- particle filter
- image segmentation
- hidden variables
- exact inference
- stereo matching
- max product
- learning algorithm
- conditional random fields
- prior knowledge
- pairwise