Improving Explorability in Variational Inference with Annealed Variational Objectives.
Chin-Wei HuangShawn TanAlexandre LacosteAaron C. CourvillePublished in: NeurIPS (2018)
Keyphrases
- variational inference
- variational methods
- variational approximation
- bayesian inference
- gaussian process
- topic models
- posterior distribution
- closed form
- latent dirichlet allocation
- probabilistic model
- exponential family
- probabilistic graphical models
- optic flow
- approximate inference
- particle filter
- regression model
- mixture model
- graphical models
- optical flow
- exact inference
- level set
- image segmentation
- parameter estimation
- curve evolution
- text mining
- statistical models
- generative model