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Probabilistic Programming with Programmable Variational Inference
- McCoy R. Becker,
- Alexander K. Lew,
- Xiaoyan Wang,
- Matin Ghavami,
- Mathieu Huot,
- Martin C. Rinard,
- Vikash K. Mansinghka
Proceedings of the ACM on Programming Languages (PACMPL), Volume 8, Issue PLDIArticle No.: 233, Pages 2123–2147https://doi.org/10.1145/3656463Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is less developed: users are typically limited to a predefined selection of variational ...
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables
- Mathieu Huot,
- Matin Ghavami,
- Alexander K. Lew,
- Ulrich Schaechtle,
- Cameron E. Freer,
- Zane Shelby,
- Martin C. Rinard,
- Feras A. Saad,
- Vikash K. Mansinghka
Proceedings of the ACM on Programming Languages (PACMPL), Volume 8, Issue PLDIArticle No.: 179, Pages 790–815https://doi.org/10.1145/3656409This article presents GenSQL, a probabilistic programming system for querying probabilistic generative models of database tables. By augmenting SQL with only a few key primitives for querying probabilistic models, GenSQL enables complex Bayesian ...
