Stein Variational Inference for Discrete Distributions.
Jun HanFan DingXianglong LiuLorenzo TorresaniJian PengQiang LiuPublished in: AISTATS (2020)
Keyphrases
- variational inference
- exponential family
- dirichlet process
- bayesian inference
- posterior distribution
- topic models
- probabilistic model
- mixture model
- variational methods
- gaussian process
- closed form
- probability distribution
- latent dirichlet allocation
- maximum likelihood
- density estimation
- log likelihood
- missing values
- statistical models
- probabilistic graphical models
- graphical models
- multiscale
- latent variables
- exact inference
- bayesian networks
- regression model
- optical flow
- conditional random fields
- prior information
- machine learning
- gaussian mixture model