Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference.
Daniel LundénJoey ÖhmanJan KudlickaViktor SenderovFredrik RonquistDavid BromanPublished in: CoRR (2021)
Keyphrases
- programming language
- sequential monte carlo
- high level
- programming environment
- bayesian networks
- object oriented
- general purpose
- high level programming language
- strongly typed
- belief networks
- object oriented programming
- software engineering
- programs written
- shared memory
- inference process
- parallel programming
- functional language
- visual tracking
- probabilistic inference
- particle filter
- programming tool
- probabilistic model
- denotational semantics
- database