On Prior Distributions and Approximate Inference for Structured Variables.
Oluwasanmi KoyejoRajiv KhannaJoydeep GhoshRussell A. PoldrackPublished in: NIPS (2014)
Keyphrases
- approximate inference
- factor graphs
- graphical models
- markov blanket
- belief propagation
- probabilistic inference
- exact inference
- message passing
- variational methods
- gaussian process
- latent variables
- parameter estimation
- random variables
- bayesian networks
- dynamic bayesian networks
- conditional random fields
- loopy belief propagation
- probabilistic model
- expectation propagation
- structured prediction
- free energy
- conditional probabilities
- linear gaussian
- markov networks
- belief networks
- fixed point
- hidden markov models
- pairwise