Nihar B. Shah

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 113

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

J. Mach. Learn. Res.

Publications

Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
What Can Natural Language Processing Do for Peer Review? CoRR (2024)
Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). Dagstuhl Reports 14 (1) (2024)
Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR (2024)
Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. CoRR (2024)
Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah
Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR (2023)
Alexander Goldberg, Giulia Fanti, Nihar B. Shah
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Martin Saveski, Steven Jecmen, Nihar B. Shah, Johan Ugander
Counterfactual Evaluation of Peer-Review Assignment Policies. CoRR (2023)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. WWW (2023)
Vijay Kamble, Nihar B. Shah, David Marn, Abhay Parekh, Kannan Ramchandran
The Square Root Agreement Rule for Incentivizing Truthful Feedback on Online Platforms. Manag. Sci. 69 (1) (2023)
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments. CoRR (2023)
Nihar B. Shah
The Role of Author Identities in Peer Review. CoRR (2023)
Martin Saveski, Steven Jecmen, Nihar B. Shah, Johan Ugander
Counterfactual Evaluation of Peer-Review Assignment Policies. NeurIPS (2023)
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
Assisting Human Decisions in Document Matching. Trans. Mach. Learn. Res. 2023 (2023)
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
Assisting Human Decisions in Document Matching. CoRR (2023)
Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah
A Gold Standard Dataset for the Reviewer Assignment Problem. CoRR (2023)
Alexander Goldberg, Giulia Fanti, Nihar B. Shah
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. SIGMETRICS (Abstracts) (2023)
Ryan Liu, Nihar B. Shah
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing. CoRR (2023)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP (2022)
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? HCOMP (2022)
Charvi Rastogi, Ivan Stelmakh, Xinwei Shen, Marina Meila, Federico Echenique, Shuchi Chawla, Nihar B. Shah
To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online. CoRR (2022)
Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah
Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. CoRR (2022)
Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran
Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes". IEEE Trans. Inf. Theory 68 (9) (2022)
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
Integrating Rankings into Quantized Scores in Peer Review. Trans. Mach. Learn. Res. 2022 (2022)
Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. J. Mach. Learn. Res. 23 (2022)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. CoRR (2022)
Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise. HCOMP (2022)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. AAMAS (2022)
Charvi Rastogi, Ivan Stelmakh, Nihar B. Shah, Sivaraman Balakrishnan
No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise. ISIT (2022)
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? CoRR (2022)
Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer
Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. CoRR (2022)
Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR (2022)
Alexander Goldberg, Giulia Fanti, Nihar B. Shah
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. CoRR (2022)
Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah
The Price of Strategyproofing Peer Assessment. CoRR (2022)
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
Calibration with Privacy in Peer Review. CoRR (2022)
Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
Integrating Rankings into Quantized Scores in Peer Review. CoRR (2022)
Nihar B. Shah
Challenges, experiments, and computational solutions in peer review. Commun. ACM 65 (6) (2022)
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
Calibration with Privacy in Peer Review. ISIT (2022)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. CoRR (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
Loss Functions, Axioms, and Peer Review. J. Artif. Intell. Res. 70 (2021)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
A Permutation-Based Model for Crowd Labeling: Optimal Estimation and Robustness. IEEE Trans. Inf. Theory 67 (6) (2021)
Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi
A heuristic for statistical seriation. UAI (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. J. Mach. Learn. Res. 22 (2021)
Emaad A. Manzoor, Nihar B. Shah
Uncovering Latent Biases in Text: Method and Application to Peer Review. AAAI (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. AAAI (2021)
Nihar B. Shah
JCDL 2021 Tutorial on Systemic Challenges and Computational Solutions on Bias and Unfairness in Peer Review. JCDL (2021)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That Are Biased by Evaluations. AAAI (2021)
Nihar B. Shah
KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review. KDD (2021)
Nihar B. Shah
WSDM 2021 Tutorial on Systematic Challenges and Computational Solutions on Bias and Unfairness in Peer Review. WSDM (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. AAAI (2021)
Jingyan Wang, Nihar B. Shah, R. Ravi
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons. AISTATS (2020)
Emaad A. Manzoor, Nihar B. Shah
Uncovering Latent Biases in Text: Method and Application to Peer Review. CoRR (2020)
Nihar B. Shah, Zachary Lipton
SIGMOD 2020 Tutorial on Fairness and Bias in Peer Review and Other Sociotechnical Intelligent Systems. SIGMOD Conference (2020)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR (2020)
Wenxin Ding, Nihar B. Shah, Weina Wang
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis. CoRR (2020)
Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. CoRR (2020)
Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. CoRR (2020)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. CoRR (2020)
Nihar B. Shah, Dengyong Zhou
Approval Voting and Incentives in Crowdsourcing. ACM Trans. Economics and Comput. 8 (3) (2020)
Tanner Fiez, Nihar B. Shah, Lillian J. Ratliff
Algorithm to Optimize Paper Bidding in Peer Review. CoRR (2020)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That are Biased by Evaluations. CoRR (2020)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. NeurIPS (2020)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. CoRR (2020)
Tanner Fiez, Nihar B. Shah, Lillian J. Ratliff
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review. UAI (2020)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. CoRR (2020)
Jingyan Wang, Nihar B. Shah
Ranking and Rating Rankings and Ratings. AAAI (2020)
Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions. ISIT (2020)
Jingyan Wang, Nihar B. Shah
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. AAMAS (2019)
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
On Strategyproof Conference Peer Review. IJCAI (2019)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons. IEEE Trans. Inf. Theory 65 (8) (2019)
Jingyan Wang, Nihar B. Shah, R. Ravi
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons. CoRR (2019)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
On Testing for Biases in Peer Review. NeurIPS (2019)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Low Permutation-rank Matrices: Structural Properties and Noisy Completion. J. Mach. Learn. Res. 20 (2019)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. ALT (2019)
Yuan Luo, Nihar B. Shah, Jianwei Huang, Jean C. Walrand
Parametric Prediction from Parametric Agents. Oper. Res. 66 (2) (2018)
Jingyan Wang, Nihar B. Shah
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. CoRR (2018)
K. V. Rashmi, Nihar B. Shah, Kannan Ramchandran, P. Vijay Kumar
Information-Theoretically Secure Erasure Codes for Distributed Storage. IEEE Trans. Inf. Theory 64 (3) (2018)
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
Choosing How to Choose Papers. CoRR (2018)
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg
Design and Analysis of the NIPS 2016 Review Process. J. Mach. Learn. Res. 19 (2018)
Susu Xu, Weiguang Mao, Yue Cao, Hae Young Noh, Nihar B. Shah
An Incentive Mechanism for Crowd Sensing with Colluding Agents. CoRR (2018)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. CoRR (2018)
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
On Strategyproof Conference Peer Review. CoRR (2018)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Low Permutation-Rank Matrices: Structural Properties and Noisy Completion. ISIT (2018)
Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran
The MDS Queue: Analysing the Latency Performance of Erasure Codes. IEEE Trans. Inf. Theory 63 (5) (2017)
Nihar B. Shah, Martin J. Wainwright
Simple, Robust and Optimal Ranking from Pairwise Comparisons. J. Mach. Learn. Res. 18 (2017)
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina, Martin J. Wainwright
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. IEEE Trans. Inf. Theory 63 (2) (2017)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Low Permutation-rank Matrices: Structural Properties and Noisy Completion. CoRR (2017)
K. V. Rashmi, Nihar B. Shah, Kannan Ramchandran
A Piggybacking Design Framework for Read-and Download-Efficient Distributed Storage Codes. IEEE Trans. Inf. Theory 63 (9) (2017)
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg
Design and Analysis of the NIPS 2016 Review Process. CoRR (2017)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons. CoRR (2016)
Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran, Martin J. Wainwright
Active Ranking from Pairwise Comparisons and the Futility of Parametric Assumptions. CoRR (2016)
Nihar B. Shah, Dengyong Zhou
No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing. ICML (2016)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness. CoRR (2016)
Nihar B. Shah, Kangwook Lee, Kannan Ramchandran
When Do Redundant Requests Reduce Latency? IEEE Trans. Commun. 64 (2) (2016)
Nihar B. Shah, Dengyong Zhou
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing. J. Mach. Learn. Res. 17 (2016)
Nihar B. Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin J. Wainwright
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. ICML (2016)
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. J. Mach. Learn. Res. 17 (2016)
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons. ISIT (2016)
Yuan Luo, Nihar B. Shah, Jianwei Huang, Jean C. Walrand
Parametric Prediction from Parametric Agents. CoRR (2016)
Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits. ECCV Workshops (3) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nihar B. Shah