Generalized Variational Inference.
Jeremias KnoblauchJack JewsonTheodoros DamoulasPublished in: CoRR (2019)
Keyphrases
- variational inference
- bayesian inference
- topic models
- probabilistic model
- probabilistic graphical models
- gaussian process
- mixture model
- posterior distribution
- variational methods
- closed form
- latent dirichlet allocation
- exponential family
- approximate inference
- factor graphs
- exact inference
- latent variables
- maximum likelihood
- machine learning
- hyperparameters
- model selection
- expectation maximization
- co occurrence
- feature selection