MixFlows: principled variational inference via mixed flows.
Zuheng XuNaitong ChenTrevor CampbellPublished in: ICML (2023)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- topic models
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- probabilistic model
- gaussian process
- closed form
- mixture model
- exponential family
- exact inference
- graphical models
- machine learning
- approximate inference
- prior information
- bayesian framework
- factor graphs
- hidden variables
- probability distribution
- log likelihood
- semi supervised
- markov networks
- belief propagation
- regression model
- generative model
- latent variables
- maximum a posteriori