Black-box coreset variational inference.
Dionysis ManousakasHippolyt RitterTheofanis KaraletsosPublished in: NeurIPS (2022)
Keyphrases
- black box
- variational inference
- bayesian inference
- posterior distribution
- topic models
- gaussian process
- closed form
- probabilistic graphical models
- latent dirichlet allocation
- mixture model
- probabilistic model
- variational methods
- black boxes
- exponential family
- white box
- exact inference
- graphical models
- latent variables
- probability distribution
- hidden variables
- prior information
- test cases
- hyperparameters
- approximate inference
- markov networks
- regression model
- factor graphs
- message passing
- posterior probability
- generative model