Reactive Message Passing for Scalable Bayesian Inference.
Dmitry BagaevBert de VriesPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- message passing
- belief propagation
- probabilistic model
- prior information
- distributed systems
- hyperparameters
- markov random field
- probabilistic inference
- distributed shared memory
- factor graphs
- shared memory
- graphical models
- hidden variables
- markov networks
- approximate inference
- sum product algorithm
- particle filter
- sum product
- data sets
- inference in graphical models
- prior distribution
- markov chain monte carlo
- prior knowledge
- loopy belief propagation
- expectation propagation
- stereo matching
- graph cuts
- image sequences