Paradoxes of probabilistic programming: and how to condition on events of measure zero with infinitesimal probabilities.
Jules JacobsPublished in: Proc. ACM Program. Lang. (2021)
Keyphrases
- probability theory
- probability measure
- belief networks
- conditional probabilities
- probabilistic model
- probability distribution
- event detection
- similarity measure
- generative model
- sufficient conditions
- bayesian networks
- probability measures
- information theory
- information theoretic
- distance measure
- programming language
- real time
- uncertain data
- programming environment
- temporal relations
- hidden markov models
- prior probabilities
- probabilistic logic
- temporal patterns
- information content
- posterior probability
- data driven