Nimar S. Arora

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 8

Top Topics

Variational Approximation

Database Languages

Metropolis Hastings

Top Venues

Publications

Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley
Crowdsourcing with Contextual Uncertainty. KDD (2022)
Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. AISTATS (2021)
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
PPL Bench: Evaluation Framework For Probabilistic Programming Languages. CoRR (2020)
Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Divesh Shah, Wenshun Liu, Michael Tingley
Uncertainty Estimation For Community Standards Violation In Online Social Networks. CoRR (2020)
Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. CoRR (2020)
Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer
Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. PGM (2020)
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
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods. CoRR (2020)
Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, Narjes Torabi
HackPPL: a universal probabilistic programming language. MAPL@PLDI (2019)
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell
Gibbs Sampling in Open-Universe Stochastic Languages CoRR (2012)
Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth
Global Seismic Monitoring: A Bayesian Approach. AAAI (2011)
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell
Gibbs Sampling in Open-Universe Stochastic Languages. UAI (2010)
Nimar S. Arora, Stuart J. Russell, Erik B. Sudderth
Automatic Inference in BLOG. Statistical Relational Artificial Intelligence (2010)
Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth
Global seismic monitoring as probabilistic inference. NIPS (2010)
Lik Wong, Nimar S. Arora, Lei Gao, Thuvan Hoang, Jingwei Wu
Oracle Streams: A High Performance Implementation for Near Real Time Asynchronous Replication. ICDE (2009)
Nimar S. Arora, Robert D. Blumofe, C. Greg Plaxton
Thread Scheduling for Multiprogrammed Multiprocessors. Theory Comput. Syst. 34 (2) (2001)
Nimar S. Arora, Robert D. Blumofe, C. Greg Plaxton
Thread Scheduling for Multiprogrammed Multiprocessors. SPAA (1998)