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Debiasing Evaluations That are Biased by Evaluations


Dec 01, 2020
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah


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A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions


Nov 30, 2020
Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III


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A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences


Nov 30, 2020
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III


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Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review


Nov 30, 2020
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III


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Uncovering Latent Biases in Text: Method and Application to Peer Review


Oct 29, 2020
Emaad Manzoor, Nihar B. Shah


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Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment


Oct 08, 2020
Ivan Stelmakh, Nihar B. Shah, Aarti Singh


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Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments


Jun 29, 2020
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang

* 27 pages, 9 figures 

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On the Privacy-Utility Tradeoff in Peer-Review Data Analysis


Jun 29, 2020
Wenxin Ding, Nihar B. Shah, Weina Wang


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A $\texttt{SUPER}^{\ast}$ Algorithm to Optimize Paper Bidding in Peer Review


Jun 27, 2020
Tanner Fiez, Nihar B. Shah, Lillian Ratliff


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Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions


Jun 21, 2020
Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh

* 36 pages, 4 figures 

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Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons


Jun 10, 2019
Jingyan Wang, Nihar B. Shah, R. Ravi


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Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings


Sep 13, 2018
Jingyan Wang, Nihar B. Shah


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Choosing How to Choose Papers


Aug 27, 2018
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia


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On Strategyproof Conference Peer Review


Jun 16, 2018
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah


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PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review


Jun 16, 2018
Ivan Stelmakh, Nihar B. Shah, Aarti Singh


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Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues


Sep 28, 2016
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina, Martin J. Wainwright


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Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help


Sep 23, 2016
Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran, Martin J. Wainwright

* improved log factor in main result; added discussion on comparison probabilities close to zero; added numerical results 

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A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness


Jun 30, 2016
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright


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Simple, Robust and Optimal Ranking from Pairwise Comparisons


Apr 27, 2016
Nihar B. Shah, Martin J. Wainwright

* Changes in version 2: In addition to recovery in the exact and Hamming metrics, v2 analyzes a general, abstract recovery criterion based on a notion of "allowed sets" 

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Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons


Mar 22, 2016
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright


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Parametric Prediction from Parametric Agents


Feb 24, 2016
Yuan Luo, Nihar B. Shah, Jianwei Huang, Jean Walrand


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Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing


Dec 16, 2015
Nihar B. Shah, Dengyong Zhou


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Approval Voting and Incentives in Crowdsourcing


Sep 07, 2015
Nihar B. Shah, Dengyong Zhou, Yuval Peres


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Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence


May 06, 2015
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright

* 39 pages, 5 figures. Significant extension of arXiv:1406.6618 

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Regularized Minimax Conditional Entropy for Crowdsourcing


Mar 25, 2015
Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah

* 31 pages 

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On the Impossibility of Convex Inference in Human Computation


Nov 21, 2014
Nihar B. Shah, Dengyong Zhou

* AAAI 2015 

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When is it Better to Compare than to Score?


Jun 25, 2014
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh, Kannan Ramchandran, Martin Wainwright


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