Sparse Variational Inference: Bayesian Coresets from Scratch.
Trevor CampbellBoyan BeronovPublished in: NeurIPS (2019)
Keyphrases
- machine learning
- variational inference
- bayesian inference
- posterior distribution
- topic models
- probabilistic model
- gaussian process
- latent dirichlet allocation
- mixture model
- probabilistic graphical models
- variational methods
- closed form
- exact inference
- exponential family
- latent variables
- probability distribution
- graphical models
- gaussian processes
- text mining
- approximate inference
- gaussian distribution
- bayesian networks
- posterior probability
- parameter estimation
- hyperparameters
- prior information
- high dimensional
- bayesian framework
- maximum a posteriori
- markov networks
- generative model
- maximum likelihood
- factor graphs
- dirichlet process
- conditional probabilities
- random variables
- pairwise
- support vector