Boosting Black Box Variational Inference.
Francesco LocatelloGideon DresdnerRajiv KhannaIsabel ValeraGunnar RätschPublished in: CoRR (2018)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- probabilistic graphical models
- gaussian process
- latent dirichlet allocation
- mixture model
- variational methods
- closed form
- black boxes
- white box
- graphical models
- exponential family
- learning algorithm
- exact inference
- test cases
- latent variables
- approximate inference
- markov networks
- machine learning
- generative model
- probability distribution
- feature selection
- bayesian framework
- conditional random fields
- first order logic
- hidden variables
- optic flow
- parameter estimation
- expectation maximization
- image segmentation