Automatic Differentiation Variational Inference with Mixtures.
Warren R. MorningstarSharad M. VikramCusuh HamAndrew G. GallagherJoshua V. DillonPublished in: CoRR (2020)
Keyphrases
- variational inference
- mixture model
- bayesian inference
- topic models
- probabilistic graphical models
- variational methods
- posterior distribution
- probabilistic model
- graphical models
- gaussian process
- latent dirichlet allocation
- density estimation
- factor graphs
- model selection
- machine learning
- unsupervised learning
- generative model
- exponential family
- hidden markov models