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Could anyone point me in the direction of resources to learn more about probabilistic programming? (e.g.: text books, practical applications, introductory arti

by amval 7y ago

Could anyone point me in the direction of resources to learn more about probabilistic programming? (e.g.: text books, practical applications, introductory articles)

linux_devil 7y ago
Found this : https://medium.com/tensorflow/an-introduction-to-probabilistic-programming-now-available-in-tensorflow-probability-6dcc003ca29e https://medium.com/tensorflow/an-introduction-to-probabilist...
espeed 7y ago
MIT Probabilistic Computing Project http://probcomp.csail.mit.edu/ http://probcomp.csail.mit.edu/ The Design and Implementation of Probabilistic Programming Languages (https://dippl.org https://dippl.org) by Noah D. Goodman https://cocolab.stanford.edu/ndg.html https://cocolab.stanford.edu/ndg.html Stanford CS 228: Probabilistic Graphical Models https://cs228.stanford.edu https://cs228.stanford.edu and book by Daphne Koller http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels http://openclassroom.stanford.edu/MainFolder/CoursePage.php?... ProbTorch: Library for deep generative models that extends PyTorch https://github.com/probtorch/probtorch https://github.com/probtorch/probtorch Anglican: Probabilistic programming language integrated with Clojure and ClojureScript https://probprog.github.io/anglican/index.html https://probprog.github.io/anglican/index.html Discussion: https://news.ycombinator.com/item?id=18585465 https://news.ycombinator.com/item?id=18585465
tr352 7y ago
[shameless plug] Ranked programming is like probabilistic programming but you don't use probabilities. Instead, you state how your program normally behaves and how it may exceptionally behave. Conceptually it's very similar to probabilistic programming, but the underlying uncertainty formalism is replaced with ranking theory. You can find an implementation of this idea (based on Scheme/Racket) here: https://github.com/tjitze/ranked-programming https://github.com/tjitze/ranked-programming For more detailed information check the paper linked to on that page.
pinouchon 7y ago
- A Personal Viewpoint on Probabilistic Programming https://www.youtube.com/watch?v=TFXcVlKqPlM https://www.youtube.com/watch?v=TFXcVlKqPlM by Dan Roy (I think this is the best intro to PP there is) - Probabilistic Models of Cognition https://probmods.org/ https://probmods.org/ by Noah D. Goodman, Joshua B. Tenenbaum & contributors - An Introduction to Probabilistic Programming https://arxiv.org/abs/1809.10756 https://arxiv.org/abs/1809.10756 By Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood

by amval 7y ago

Could anyone point me in the direction of resources to learn more about probabilistic programming? (e.g.: text books, practical applications, introductory articles)

linux_devil 7y ago

Found this : https://medium.com/tensorflow/an-introduction-to-probabilistic-programming-now-available-in-tensorflow-probability-6dcc003ca29e https://medium.com/tensorflow/an-introduction-to-probabilist...

espeed 7y ago

MIT Probabilistic Computing Project http://probcomp.csail.mit.edu/ http://probcomp.csail.mit.edu/ The Design and Implementation of Probabilistic Programming Languages (https://dippl.org https://dippl.org) by Noah D. Goodman https://cocolab.stanford.edu/ndg.html https://cocolab.stanford.edu/ndg.html Stanford CS 228: Probabilistic Graphical Models https://cs228.stanford.edu https://cs228.stanford.edu and book by Daphne Koller http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels http://openclassroom.stanford.edu/MainFolder/CoursePage.php?... ProbTorch: Library for deep generative models that extends PyTorch https://github.com/probtorch/probtorch https://github.com/probtorch/probtorch Anglican: Probabilistic programming language integrated with Clojure and ClojureScript https://probprog.github.io/anglican/index.html https://probprog.github.io/anglican/index.html Discussion: https://news.ycombinator.com/item?id=18585465 https://news.ycombinator.com/item?id=18585465

tr352 7y ago

[shameless plug] Ranked programming is like probabilistic programming but you don't use probabilities. Instead, you state how your program normally behaves and how it may exceptionally behave. Conceptually it's very similar to probabilistic programming, but the underlying uncertainty formalism is replaced with ranking theory. You can find an implementation of this idea (based on Scheme/Racket) here: https://github.com/tjitze/ranked-programming https://github.com/tjitze/ranked-programming For more detailed information check the paper linked to on that page.

pinouchon 7y ago

- A Personal Viewpoint on Probabilistic Programming https://www.youtube.com/watch?v=TFXcVlKqPlM https://www.youtube.com/watch?v=TFXcVlKqPlM by Dan Roy (I think this is the best intro to PP there is) - Probabilistic Models of Cognition https://probmods.org/ https://probmods.org/ by Noah D. Goodman, Joshua B. Tenenbaum & contributors - An Introduction to Probabilistic Programming https://arxiv.org/abs/1809.10756 https://arxiv.org/abs/1809.10756 By Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood