Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing.
Andre ManoelFlorent KrzakalaEric W. TramelLenka ZdeborováPublished in: Allerton (2017)
Keyphrases
- message passing
- bayesian inference
- inference in graphical models
- expectation propagation
- approximate inference
- belief propagation
- probabilistic model
- hyperparameters
- prior information
- probabilistic inference
- distributed systems
- markov chain monte carlo
- factor graphs
- junction tree
- markov random field
- shared memory
- markov networks
- graphical models
- distributed shared memory
- hidden variables
- exact inference
- variational methods
- loopy belief propagation
- particle filter
- sum product algorithm
- density estimation
- generative model
- prior distribution
- generalized belief propagation