Adversarial α-divergence Minimization for Bayesian Approximate Inference.
Simón Rodríguez SantanaDaniel Hernández-LobatoPublished in: CoRR (2019)
Keyphrases
- approximate inference
- bayesian networks
- graphical models
- variational approximation
- markov chain monte carlo
- belief propagation
- expectation propagation
- probabilistic inference
- exact inference
- parameter estimation
- gaussian process
- message passing
- latent variables
- variational methods
- posterior distribution
- variational inference
- kullback leibler
- loopy belief propagation
- factor graphs
- dynamic bayesian networks
- posterior probability
- maximum likelihood
- structured prediction
- free energy
- conditional random fields
- generalized belief propagation
- bayesian inference
- em algorithm
- kl divergence
- random variables
- model selection
- graph cuts
- probabilistic model
- three dimensional
- prior information
- fixed point
- stereo matching
- expectation maximization
- image processing