Overdispersed Black-Box Variational Inference.
Francisco J. R. RuizMichalis K. TitsiasDavid M. BleiPublished in: UAI (2016)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- probabilistic model
- gaussian process
- mixture model
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- posterior distribution
- closed form
- black boxes
- exponential family
- approximate inference
- factor graphs
- test cases
- white box
- graphical models
- exact inference
- parameter estimation
- latent variables
- hyperparameters
- markov networks
- bayesian networks
- databases
- model selection
- prior information
- belief propagation
- generative model
- language model
- probability distribution