Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions.
Bin LiNan WuYik-Chung WuPublished in: IEEE Trans. Signal Process. (2024)
Keyphrases
- message passing
- sum product
- sum product algorithm
- gaussian graphical models
- belief propagation
- distributed systems
- graphical models
- max product
- probabilistic inference
- factor graphs
- inference in graphical models
- loopy belief propagation
- markov random field
- approximate inference
- graph cuts
- free energy
- stereo matching
- exact inference
- belief networks
- image segmentation
- junction tree
- energy minimization
- shared memory
- map inference
- pairwise
- bayesian networks
- linear models
- em algorithm
- probabilistic model