Dice: Compiling Discrete Probabilistic Programs for Scalable Inference.
Steven HoltzenGuy Van den BroeckTodd D. MillsteinPublished in: CoRR (2020)
Keyphrases
- bayesian networks
- inference process
- belief networks
- probabilistic networks
- probabilistic reasoning
- decomposable negation normal form
- bayesian reasoning
- logical inference
- factor graphs
- probabilistic model
- probabilistic inference
- data driven
- bayesian inference
- information theoretic
- discrete version
- computer programs
- discrete valued
- probabilistic modeling
- inference mechanism
- fixpoint
- generative model
- data sets
- continuous variables
- inference engine
- learning algorithm
- lightweight
- posterior probability
- sequence prediction
- bayes nets
- uncertain data
- finite number
- web scale
- statistical relational learning
- discrete space
- highly scalable
- probabilistic logic
- structured prediction