Training Variational Autoencoders with Buffered Stochastic Variational Inference.
Rui ShuHung H. BuiJay WhangStefano ErmonPublished in: AISTATS (2019)
Keyphrases
- variational inference
- variational methods
- variational approximation
- bayesian inference
- mixture model
- latent dirichlet allocation
- probabilistic model
- topic models
- posterior distribution
- denoising
- approximate inference
- gaussian process
- closed form
- image segmentation
- training set
- optic flow
- conditional random fields
- scale space
- structured prediction
- exponential family
- level set
- optical flow estimation
- optical flow
- exact inference
- probabilistic graphical models
- support vector