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

By Nazanin Khosravani Tehrani, Nimar S. Arora, David Noursi, Michael Tingley, Narjes Torabi, Eric Lippert. 2020

15 citations recorded by the source corpus.

Citations in the corpus

• Foundation Posteriors for Approximate Probabilistic Inference (2022, neutral): “Many probabilistic programming languages (PPLs) have been developed [27, 44, 28, 43, 18, 56, 45, 51, 57, 12, 23, 17, 7, 55] each with inference approaches with strengths and weaknesses.”