Thread Scheduling for Multiprogrammed Multiprocessors. - Nimar S. Arora; Robert D. Blumofe; C. Greg Plaxton (Theory Comput. Syst., 2001)

Oracle Streams: A High Performance Implementation for Near Real Time Asynchronous Replication. - Lik Wong; Nimar S. Arora; Lei Gao; Thuvan Hoang; Jingwei Wu (ICDE, 2009)

Automatic Inference in BLOG. - Nimar S. Arora; Stuart Russell 001; Erik B. Sudderth (StarAI@AAAI, 2010)

Global seismic monitoring as probabilistic inference. - Nimar S. Arora; Stuart Russell 001; Paul Kidwell; Erik B. Sudderth (NIPS, 2010)

Gibbs Sampling in Open-Universe Stochastic Languages. - Nimar S. Arora; Rodrigo de Salvo Braz; Erik B. Sudderth; Stuart Russell 001 (UAI, 2010)

Global Seismic Monitoring: A Bayesian Approach. - Nimar S. Arora; Stuart Russell 001; Paul Kidwell; Erik B. Sudderth (AAAI, 2011)

Model-based Bayesian Seismic Monitoring. - Nimar S. Arora (2012)

HackPPL: a universal probabilistic programming language. - Jessica Ai; Nimar S. Arora; Ning Dong; Beliz Gokkaya; Thomas Jiang; Anitha Kubendran; Arun Kumar; Michael Tingley; Narjes Torabi (MAPL@PLDI, 2019)

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)

Uncertainty Estimation For Community Standards Violation In Online Social Networks. - Narjes Torabi; Nimar S. Arora; Emma Yu; Kinjal Divesh Shah; Wenshun Liu; Michael Tingley (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)

Accelerating Metropolis-Hastings with Lightweight Inference Compilation. - Feynman T. Liang; Nimar S. Arora; Nazanin Khosravani Tehrani; Yucen Lily Li; Michael Tingley; Erik Meijer 001 (AISTATS, 2021)

Crowdsourcing with Contextual Uncertainty. - Viet-An Nguyen; Peibei Shi; Jagdish Ramakrishnan; Narjes Torabi; Nimar S. Arora; Udi Weinsberg; Michael Tingley (KDD, 2022)