Nimar S. Arora

According to our database, Nimar S. Arora authored at least 14 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Crowdsourcing with Contextual Uncertainty.

Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Accelerating Metropolis-Hastings with Lightweight Inference Compilation.

Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

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

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

CoRR, 2020

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

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

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

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2012

Model-based Bayesian Seismic Monitoring.

Nimar S. Arora

PhD thesis, 2012

2011

Global Seismic Monitoring: A Bayesian Approach.

Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Gibbs Sampling in Open-Universe Stochastic Languages.

Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell

Proceedings of the UAI 2010, 2010

Global seismic monitoring as probabilistic inference.

Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Automatic Inference in BLOG.

Nimar S. Arora, Stuart Russell, Erik B. Sudderth

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2009

Oracle Streams: A High Performance Implementation for Near Real Time Asynchronous Replication.

Lik Wong, Nimar S. Arora, Lei Gao, Thuvan Hoang, Jingwei Wu

Proceedings of the 25th International Conference on Data Engineering, 2009

1998

Thread Scheduling for Multiprogrammed Multiprocessors.

Nimar S. Arora, Robert D. Blumofe, C. Greg Plaxton

Proceedings of the Tenth Annual ACM Symposium on Parallel Algorithms and Architectures, 1998