Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing.
Andre ManoelFlorent KrzakalaEric W. TramelLenka ZdeborováPublished in: CoRR (2017)
Keyphrases
- bayesian inference
- message passing
- inference in graphical models
- expectation propagation
- belief propagation
- probabilistic model
- approximate inference
- markov chain monte carlo
- prior information
- junction tree
- probabilistic inference
- hyperparameters
- distributed systems
- shared memory
- factor graphs
- graphical models
- markov networks
- sum product algorithm
- particle filter
- sum product
- dual decomposition
- markov random field
- hidden variables
- variational methods
- pairwise
- distributed shared memory
- loopy belief propagation
- stereo matching
- data sets
- graph cuts
- conditional random fields