Asymptotically exact inference in differentiable generative models.
Matthew M. GrahamAmos J. StorkeyPublished in: AISTATS (2017)
Keyphrases
- image segmentation
- generative model
- exact inference
- conditional random fields
- graphical models
- probabilistic model
- approximate inference
- bayesian networks
- latent variables
- belief propagation
- belief networks
- probabilistic graphical models
- probabilistic inference
- structured prediction
- bayesian framework
- mixture model
- multiscale
- prior knowledge
- dynamic bayesian networks
- objective function
- hierarchical models
- semi supervised
- posterior probability
- approximation algorithms
- sample size
- topic models
- em algorithm
- worst case
- variational inference
- gaussian process
- hidden variables
- variational methods
- conditional probabilities
- message passing
- random variables
- maximum likelihood
- information retrieval
- stereo matching
- markov networks