A design proposal for Gen: probabilistic programming with fast custom inference via code generation

Marco F. Cusumano-Towner, Vikash K. Mansinghka. A design proposal for Gen: probabilistic programming with fast custom inference via code generation. In Justin Gottschlich, Alvin Cheung, editors, Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018. pages 52-57, ACM, 2018. [doi]

Abstract

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