ali-ramadhan / gen

A general-purpose probabilistic programming system with programmable inference

Gen

Gen: A General-Purpose Probabilistic Programming System with Programmable Inference

Warning: This is rapidly evolving research software.

See https://gen.dev for introduction, documentation, and tutorials.

The Gen PLDI 2019 paper is publicly available here.

Gen was created at the MIT Probabilistic Computing Project. To get in contact with the Project, please fill out this online form. (But please don't hesitate to engage directly with the Gen open source project via the Github site!)

If you use Gen in your research, please cite it using:

@inproceedings{Cusumano-Towner:2019:GGP:3314221.3314642,
 author = {Cusumano-Towner, Marco F. and Saad, Feras A. and Lew, Alexander K. and Mansinghka, Vikash K.},
 title = {Gen: A General-purpose Probabilistic Programming System with Programmable Inference},
 booktitle = {Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation},
 series = {PLDI 2019},
 year = {2019},
 isbn = {978-1-4503-6712-7},
 location = {Phoenix, AZ, USA},
 pages = {221--236},
 numpages = {16},
 url = {http://doi.acm.org/10.1145/3314221.3314642},
 doi = {10.1145/3314221.3314642},
 acmid = {3314642},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Markov chain Monte Carlo, Probabilistic programming, sequential Monte Carlo, variational inference},
}