An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations.
Justin DomkePublished in: CoRR (2021)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- parameter estimation
- exact inference
- gaussian process
- message passing
- factor graphs
- bayesian networks
- loopy belief propagation
- variational methods
- expectation propagation
- latent variables
- conditional random fields
- dynamic bayesian networks
- structured prediction
- free energy
- maximum likelihood
- computer vision
- belief networks
- bayesian framework
- fixed point
- em algorithm
- markov random field
- least squares
- prior knowledge