Boosting Black Box Variational Inference.
Francesco LocatelloGideon DresdnerRajiv KhannaIsabel ValeraGunnar RätschPublished in: NeurIPS (2018)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- variational methods
- posterior distribution
- gaussian process
- probabilistic model
- mixture model
- latent dirichlet allocation
- probabilistic graphical models
- closed form
- black boxes
- white box
- approximate inference
- exact inference
- exponential family
- learning algorithm
- test cases
- feature selection
- generative model
- probability distribution
- latent variables
- bayesian framework
- probabilistic inference
- parameter estimation
- bayesian networks
- gaussian distribution
- error rate
- language model
- graphical models
- co occurrence
- text mining
- databases