Your search
Author or contributor
Results
4 resources-
Ścibior, A., Kammar, O., & Ghahramani, Z. (2018). Functional programming for modular Bayesian inference. Proceedings of the ACM on Programming Languages, 2(ICFP), 1–29. https://doi.org/10/gft39x
-
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
-
Ścibior, A., Ghahramani, Z., & Gordon, A. D. (2015). Practical Probabilistic Programming with Monads. In Proceedings of the 2015 ACM SIGPLAN Symposium on Haskell (pp. 165–176). New York, NY, USA: ACM. https://doi.org/10/gft39z
-
Ghahramani, Z. (2015). Probabilistic machine learning and artificial intelligence. Nature, 521(7553), 452–459. https://doi.org/10/gdxwhq
Explore
MACHINE LEARNING
- Machine Learning (1)
PROBABILITY & STATISTICS
PROGRAMMING LANGUAGES
Methodology
- Implementation (2)
Topic
- Bayesian inference (3)
- Classical ML (1)
- Implementation (2)
- Machine learning (1)
- Probabilistic programming (3)
- Programming language theory (1)
Resource type
- Conference Paper (1)
- Journal Article (3)
Publication year
Online resource
- yes (4)