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 001 (PGM, 2020)

Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods. - Nimar S. Arora; Nazanin Khosravani Tehrani; Kinjal Divesh Shah; Michael Tingley; Yucen Lily Li; Narjes Torabi; David Noursi; Sepehr Akhavan-Masouleh; Eric Lippert; Erik Meijer 001 (CoRR, 2020)

PPL Bench: Evaluation Framework For Probabilistic Programming Languages. - Sourabh Kulkarni; Kinjal Divesh Shah; Nimar S. Arora; Xiaoyan Wang; Yucen Lily Li; Nazanin Khosravani Tehrani; Michael Tingley; David Noursi; Narjes Torabi; Sepehr Akhavan-Masouleh; Eric Lippert; Erik Meijer 001 (CoRR, 2020)