Loss Functions, Axioms, and Peer Review

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Loss Functions, Axioms, and Peer Review

27 August 2018

Ritesh Noothigattu

Ariel D. Procaccia

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Papers citing "Loss Functions, Axioms, and Peer Review"

15 / 15 papers shown

Title
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection Alexander Goldberg Giulia Fanti Nihar B. Shah 75 3 0 23 Nov 2022
No Agreement Without Loss: Learning and Social Choice in Peer Review Pablo Barceló Mauricio Duarte Cristóbal Rojas Tomasz Steifer 41 0 0 03 Nov 2022
Matching Papers and Reviewers at Large Conferences Kevin Leyton-Brown Mausam Yatin Nandwani Hedayat Zarkoob Chris Cameron N. Newman Dinesh Raghu OODD MQ 67 32 0 24 Feb 2022
Calibration with Privacy in Peer Review Wenxin Ding Gautam Kamath Weina Wang Nihar B. Shah 72 7 0 27 Jan 2022
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise Komal Dhull Steven Jecmen Pravesh Kothari Nihar B. Shah 77 13 0 25 Jan 2022
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism Weijie J. Su 37 20 0 27 Oct 2021
Debiasing Evaluations That are Biased by Evaluations Jingyan Wang Ivan Stelmakh Yuting Wei Nihar B. Shah CML 39 22 0 01 Dec 2020
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions Ivan Stelmakh Charvi Rastogi Nihar B. Shah Aarti Singh Hal Daumé CML 77 23 0 30 Nov 2020
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences Ivan Stelmakh Nihar B. Shah Aarti Singh Hal Daumé 45 29 0 30 Nov 2020
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review Ivan Stelmakh Nihar B. Shah Aarti Singh Hal Daumé 44 11 0 30 Nov 2020
Uncovering Latent Biases in Text: Method and Application to Peer Review Emaad Manzoor Nihar B. Shah 62 39 0 29 Oct 2020
What Can We Do to Improve Peer Review in NLP? Anna Rogers Isabelle Augenstein 73 49 0 08 Oct 2020
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis Wenxin Ding Nihar B. Shah Weina Wang 35 12 0 29 Jun 2020
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions Charvi Rastogi Sivaraman Balakrishnan Nihar B. Shah Aarti Singh 47 3 0 21 Jun 2020
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness Nihar B. Shah Sivaraman Balakrishnan Martin J. Wainwright FedML 92 44 0 30 Jun 2016