Pseudo-Encoded Stochastic Variational Inference.
Amir ZadehSmon HessnerYao Chong LimLouis-Philippe MorencyPublished in: CoRR (2019)
Keyphrases
- variational inference
- bayesian inference
- topic models
- gaussian process
- posterior distribution
- variational methods
- latent dirichlet allocation
- closed form
- mixture model
- probabilistic graphical models
- probabilistic model
- exponential family
- exact inference
- monte carlo
- latent variables
- factor graphs
- prior information
- stereo matching
- log likelihood
- regression model
- unsupervised learning
- maximum likelihood
- language model
- probability distribution