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Debiasing Evaluations That are Biased by Evaluations

Debiasing Evaluations That are Biased by Evaluations

AAAI Conference on Artificial Intelligence (AAAI), 2020
1 December 2020
Jingyan Wang
Ivan Stelmakh
Yuting Wei
Nihar B. Shah
    CML
ArXiv (abs)PDFHTML

Papers citing "Debiasing Evaluations That are Biased by Evaluations"

9 / 9 papers shown
The Course Difficulty Analysis Cookbook
The Course Difficulty Analysis Cookbook
Frederik Baucks
Robin Schmucker
Laurenz Wiskott
110
0
0
17 Aug 2025
What Can Natural Language Processing Do for Peer Review?
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov
Osama Mohammed Afzal
Koen Dercksen
Nils Dycke
Alexander Goldberg
...
Jingyan Wang
Xiaodan Zhu
Anna Rogers
Nihar B. Shah
Iryna Gurevych
331
31
0
10 May 2024
An Isotonic Mechanism for Overlapping Ownership
An Isotonic Mechanism for Overlapping Ownership
Jibang Wu
Haifeng Xu
Yifan Guo
Weijie Su
276
8
0
19 Jun 2023
Modeling and Correcting Bias in Sequential Evaluation
Modeling and Correcting Bias in Sequential EvaluationACM Conference on Economics and Computation (EC), 2022
Jingyan Wang
A. Pananjady
398
3
0
03 May 2022
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of
  Evaluators' Expertise
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise
Komal Dhull
Steven Jecmen
Pravesh Kothari
Nihar B. Shah
271
18
0
25 Jan 2022
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring
  Mechanism
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring MechanismNeural Information Processing Systems (NeurIPS), 2021
Weijie J. Su
279
29
0
27 Oct 2021
Least Square Calibration for Peer Review
Least Square Calibration for Peer ReviewNeural Information Processing Systems (NeurIPS), 2021
Helen Ngo
Jibang Wu
Jeffrey Hui
Nick Frosst
132
8
0
25 Oct 2021
Peer Selection with Noisy Assessments
Peer Selection with Noisy Assessments
Omer Lev
Nicholas Mattei
P. Turrini
Stanislav Zhydkov
272
2
0
21 Jul 2021
A Permutation-based Model for Crowd Labeling: Optimal Estimation and
  Robustness
A Permutation-based Model for Crowd Labeling: Optimal Estimation and RobustnessIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2016
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
FedML
373
47
0
30 Jun 2016
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