Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference

Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer 0001. Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. In Manfred Jaeger, Thomas Dyhre Nielsen, editors, International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark. Volume 138 of Proceedings of Machine Learning Research, pages 485-496, PMLR, 2020. [doi]

Abstract

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