Local Expectation Gradients for Black Box Variational Inference.
Michalis K. TitsiasMiguel Lázaro-GredillaPublished in: NIPS (2015)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- gaussian process
- posterior distribution
- latent dirichlet allocation
- mixture model
- probabilistic graphical models
- probabilistic model
- variational methods
- closed form
- exact inference
- white box
- factor graphs
- exponential family
- black boxes
- test cases
- approximate inference
- graphical models
- latent variables
- probability distribution
- bayesian framework
- maximum likelihood
- optic flow
- parameter estimation
- hidden variables
- markov networks
- co occurrence
- bayesian networks
- density estimation
- random variables
- image sequences
- cross validation
- databases