Probabilistic Programming with Stochastic Probabilities.
Alexander K. LewMatin GhavamizadehMartin C. RinardVikash K. MansinghkaPublished in: Proc. ACM Program. Lang. (2023)
Keyphrases
- probability theory
- belief networks
- conditional probabilities
- programming language
- stochastic context free grammars
- bayesian networks
- probability distribution
- joint probability
- probability values
- probabilistic model
- data driven
- conditional probability distributions
- probability function
- forward and backward
- uncertain data
- learning automata
- probabilistic approaches
- prior probabilities
- imprecise probabilities
- probabilistic reasoning
- posterior probability
- monte carlo
- generative model
- neural network
- development environment
- database
- programming course
- probability density function
- stochastic optimization
- artificial neural networks
- relational databases
- genetic algorithm
- data sets
- probability functions
- real time