Discretely Relaxing Continuous Variables for tractable Variational Inference.
Trefor W. EvansPrasanth B. NairPublished in: CoRR (2018)
Keyphrases
- continuous variables
- variational inference
- bayesian inference
- bayesian networks
- probabilistic graphical models
- hidden variables
- probabilistic model
- posterior distribution
- topic models
- exact inference
- gaussian process
- graphical models
- structure learning
- variational methods
- dynamic systems
- mixture model
- random variables
- closed form
- approximate inference
- computational complexity
- markov networks
- joint distribution
- latent variables
- np hard
- co occurrence
- probability distribution
- probabilistic inference
- hyperparameters
- bayesian framework
- prior information
- convex hull
- particle filter
- feature space
- belief propagation
- regression model
- optic flow
- maximum likelihood
- level set
- image segmentation