Gaussian Kullback-Leibler approximate inference.
Edward ChallisDavid BarberPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- kullback leibler
- approximate inference
- variational approximation
- graphical models
- kl divergence
- belief propagation
- kullback leibler divergence
- distance measure
- probabilistic inference
- cross entropy
- exact inference
- gaussian process
- gaussian mixture
- parameter estimation
- message passing
- gaussian distribution
- maximum likelihood
- variational methods
- bayesian networks
- latent variables
- exponential family
- marginal distributions
- posterior distribution
- probability density
- markov chain monte carlo
- markov random field
- probabilistic model
- random variables
- machine learning
- graph cuts
- model selection
- stereo matching
- information theoretic
- conditional random fields