Discretely Relaxing Continuous Variables for tractable Variational Inference.
Trefor W. EvansPrasanth B. NairPublished in: NeurIPS (2018)
Keyphrases
- continuous variables
- variational inference
- bayesian inference
- hidden variables
- bayesian networks
- probabilistic model
- probabilistic graphical models
- topic models
- posterior distribution
- exact inference
- gaussian process
- mixture model
- graphical models
- variational methods
- random variables
- dynamic systems
- closed form
- structure learning
- latent variables
- approximate inference
- markov networks
- probability distribution
- computational complexity
- probabilistic inference
- conditional probabilities
- hyperparameters
- convex hull
- training data
- bayesian framework
- parameter estimation
- np hard
- joint distribution
- message passing
- text mining
- data points