Nihar B. Shah

Most-cited papers

A Solution to the Network Challenges of Data Recovery in Erasure-coded Distributed Storage Systems: A Study on the Facebook Warehouse Cluster
K. Rashmi, Nihar B. Shah, Dikang Gu, Hairong Kuang +2 more
2013USENIX Workshop on Hot Topics in Storage and File Systems335 citations
Semantic Scholar
A "hitchhiker's" guide to fast and efficient data reconstruction in erasure-coded data centers
K. Rashmi, Nihar B. Shah, Dikang Gu, Hai-Rong Kuang +2 more
2014Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication269 citations Open access
Semantic Scholar
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Nihar B. Shah, M. Wainwright
2015Journal of machine learning research224 citations
Semantic Scholar
One extra bit of download ensures perfectly private information retrieval
Nihar B. Shah, K. Rashmi, K. Ramchandran
20142014 IEEE International Symposium on Information Theory212 citations
Semantic Scholar
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay K. Parekh +2 more
2015Journal of machine learning research197 citations
Semantic Scholar
When do redundant requests reduce latency ?
Nihar B. Shah, Kangwook Lee, K. Ramchandran
2013Allerton Conference on Communication, Control, and Computing193 citations
Semantic Scholar
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
Ryan Liu, Nihar B. Shah
2023arXiv.org168 citations Open access
Semantic Scholar
Having Your Cake and Eating It Too: Jointly Optimal Erasure Codes for I/O, Storage, and Network-bandwidth
K. Rashmi, Preetum Nakkiran, Jingyan Wang, Nihar B. Shah +1 more
2015USENIX Conference on File and Storage Technologies163 citations
Semantic Scholar
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina, M. Wainwright
2015IEEE Transactions on Information Theory158 citations Open access
Semantic Scholar
Challenges, experiments, and computational solutions in peer review
Nihar B. Shah
2022Communications of the ACM132 citations Open access
Semantic Scholar
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
2018International Conference on Algorithmic Learning Theory121 citations
Semantic Scholar
A piggybacking design framework for read-and download-efficient distributed storage codes
K. Rashmi, Nihar B. Shah, K. Ramchandran
20132013 IEEE International Symposium on Information Theory121 citations
Semantic Scholar
Design and Analysis of the NIPS 2016 Review Process
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle M Guyon +1 more
2017Journal of machine learning research117 citations
Semantic Scholar
Active ranking from pairwise comparisons and when parametric assumptions do not help
Reinhard Heckel, Nihar B. Shah, K. Ramchandran, M. Wainwright
2016Annals of Statistics115 citations
Semantic Scholar
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Deng-Yong Zhou
2014Journal of machine learning research110 citations
Semantic Scholar
A Case for Ordinal Peer-evaluation in MOOCs
Nihar B. Shah, Joseph K. Bradley, A. Parekh, K. Ramchandran
201394 citations
Semantic Scholar
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah +2 more
2020Neural Information Processing Systems91 citations
Semantic Scholar
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Jingyan Wang, Nihar B. Shah
2018Adaptive Agents and Multi-Agent Systems89 citations Open access
Semantic Scholar
Approval Voting and Incentives in Crowdsourcing
Nihar B. Shah, Deng-Yong Zhou, Y. Peres
2015International Conference on Machine Learning75 citations Open access
Semantic Scholar
Regularized Minimax Conditional Entropy for Crowdsourcing
Deng-Yong Zhou, Qiang Liu, John C. Platt, Christopher Meek +1 more
2015arXiv.org72 citations
Semantic Scholar
On Strategyproof Conference Peer Review
Yichong Xu, H. Zhao, Xiaofei Shi, Jeremy Zhang +1 more
2018International Joint Conference on Artificial Intelligence58 citations Open access
Semantic Scholar
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
Baiyu Chen, Sergio Escalera, Isabelle M Guyon, V. Ponce-López +2 more
2016ECCV Workshops57 citations Open access
Semantic Scholar
On Testing for Biases in Peer Review
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
2019Neural Information Processing Systems55 citations
Semantic Scholar
Time is Money: Strategic Timing Games in Proof-of-Stake Protocols
Caspar Schwarz-Schilling, Fahad Saleh, T. Thiery, Jennifer Pan +2 more
2023Conference on Advances in Financial Technologies52 citations Open access
Semantic Scholar
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
2020AAAI Conference on Artificial Intelligence47 citations Open access
Semantic Scholar
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daum'e
2020AAAI Conference on Artificial Intelligence47 citations Open access
Semantic Scholar
Loss Functions, Axioms, and Peer Review
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
2018Journal of Artificial Intelligence Research47 citations Open access
Semantic Scholar
A Permutation-Based Model for Crowd Labeling: Optimal Estimation and Robustness
Nihar B. Shah, Sivaraman Balakrishnan, M. Wainwright
2016IEEE Transactions on Information Theory47 citations Open access
Semantic Scholar
Uncovering Latent Biases in Text: Method and Application to Peer Review
Emaad Manzoor, Nihar B. Shah
2020AAAI Conference on Artificial Intelligence45 citations Open access
Semantic Scholar
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
Tanner Fiez, Nihar B. Shah, L. Ratliff
2020Conference on Uncertainty in Artificial Intelligence45 citations
Semantic Scholar
A Piggybacking Design Framework for Read-and Download-Efficient Distributed Storage Codes
K. Rashmi, Nihar B. Shah, K. Ramchandran
2017IEEE Transactions on Information Theory43 citations Open access
Semantic Scholar
Truth Serums for Massively Crowdsourced Evaluation Tasks
Vijay Kamble, Nihar B. Shah, David Marn, Abhay K. Parekh +1 more
2015arXiv.org40 citations
Semantic Scholar
Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons
Nihar B. Shah, Sivaraman Balakrishnan, M. Wainwright
2016International Symposium on Information Theory39 citations Open access
Semantic Scholar
When Do Redundant Requests Reduce Latency?
Nihar B. Shah, Kangwook Lee, K. Ramchandran
2016IEEE Transactions on Communications39 citations Open access
Semantic Scholar
An Overview of Challenges, Experiments, and Computational Solutions in Peer Review (Extended Version)
Nihar B. Shah
202238 citations
Semantic Scholar
No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar B. Shah, Deng-Yong Zhou
2016International Conference on Machine Learning33 citations
Semantic Scholar
Information-Theoretically Secure Erasure Codes for Distributed Storage
K. Rashmi, Nihar B. Shah, K. Ramchandran, P. V. Kumar
2015IEEE Transactions on Information Theory33 citations Open access
Semantic Scholar
Some Scaling Laws for MOOC Assessments
Nihar B. Shah
201430 citations
Semantic Scholar
A large scale randomized controlled trial on herding in peer-review discussions
Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh +1 more
2020PLoS ONE26 citations Open access
Semantic Scholar
When is it Better to Compare than to Score?
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay K. Parekh +2 more
2014arXiv.org26 citations
Semantic Scholar
Cite-seeing and reviewing: A study on citation bias in peer review
Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla +2 more
2022PLoS ONE25 citations Open access
Semantic Scholar
A Dataset on Malicious Paper Bidding in Peer Review
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah +1 more
2022The Web Conference25 citations Open access
Semantic Scholar
A Gold Standard Dataset for the Reviewer Assignment Problem
Ivan Stelmakh, J. Wieting, Xi Yang, Graham Neubig +1 more
2023Trans. Mach. Learn. Res.24 citations Open access
Semantic Scholar
Secure network coding for distributed secret sharing with low communication cost
Nihar B. Shah, K. Rashmi, K. Ramchandran
20132013 IEEE International Symposium on Information Theory21 citations
Semantic Scholar
Counterfactual Evaluation of Peer-Review Assignment Policies
Martin Saveski, Steven Jecmen, Nihar B. Shah, J. Ugander
2023Neural Information Processing Systems19 citations Open access
Semantic Scholar
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise
Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah
2022AAAI Conference on Human Computation & Crowdsourcing19 citations Open access
Semantic Scholar
Low Permutation-Rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, M. Wainwright
2017International Symposium on Information Theory19 citations Open access
Semantic Scholar
Parametric Prediction from Parametric Agents
Yuan Luo, Nihar B. Shah, Jian-Wei Huang, J. Walrand
2015PERV18 citations Open access
Semantic Scholar
How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions?
Charvi Rastogi, Ivan Stelmakh, A. Beygelzimer, Y. Dauphin +6 more
2022PLoS ONE17 citations Open access
Semantic Scholar
Choosing How to Choose Papers
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
2018arXiv.org17 citations
Semantic Scholar