Training Variational Autoencoders with Buffered Stochastic Variational Inference.
Rui ShuHung H. BuiJay WhangStefano ErmonPublished in: CoRR (2019)
Keyphrases
- variational inference
- variational methods
- bayesian inference
- variational approximation
- mixture model
- topic models
- probabilistic model
- denoising
- latent dirichlet allocation
- gaussian process
- posterior distribution
- closed form
- probabilistic graphical models
- optic flow
- image segmentation
- approximate inference
- optical flow
- curve evolution
- image processing
- model selection
- em algorithm
- co occurrence
- information extraction