Your search
PROBABILITY & STATISTICS
PROGRAMMING LANGUAGES
Results
6 resources-
Dal Lago, U., & Hoshino, N. (2019). The Geometry of Bayesian Programming (pp. 1–13). https://doi.org/10/ggdk85
-
Staton, S., Yang, H., Heunen, C., Kammar, O., & Wood, F. (2016). Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints. Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science - LICS ’16, 525–534. https://doi.org/10/ggdf97
-
Baudart, G., Mandel, L., Atkinson, E., Sherman, B., Pouzet, M., & Carbin, M. (2019). Reactive Probabilistic Programming. ArXiv:1908.07563 [Cs]. Retrieved from http://arxiv.org/abs/1908.07563
-
Ścibior, A., Kammar, O., Vákár, M., Staton, S., Yang, H., Cai, Y., … Ghahramani, Z. (2017). Denotational validation of higher-order Bayesian inference. Proceedings of the ACM on Programming Languages, 2(POPL), 1–29. https://doi.org/10.1145/3158148
-
Staton, S. (2017). Commutative Semantics for Probabilistic Programming. In H. Yang (Ed.), Programming Languages and Systems (Vol. 10201, pp. 855–879). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-54434-1_32
-
Vákár, M., Kammar, O., & Staton, S. (2018). A Domain Theory for Statistical Probabilistic Programming. ArXiv:1811.04196 [Cs]. Retrieved from http://arxiv.org/abs/1811.04196
Explore
CATEGORICAL LOGIC
- Linear logic (1)
MODEL CHECKING AND STATE MACHINES
- Rewriting theory (1)
- Transition systems (1)
PROBABILITY & STATISTICS
PROGRAMMING LANGUAGES
Methodology
- Implementation (1)
Topic
- Bayesian inference (2)
- Bayesianism (2)
- Denotational semantics (2)
- Implementation (1)
- Linear logic (1)
- Probabilistic programming (4)
- Programming language theory (4)
- Rewriting theory (1)
- Semantics (2)
- Transition systems (1)
Resource type
- Book Section (1)
- Conference Paper (1)
- Journal Article (4)