Peer Prediction

Peer Prediction is a mechanism design framework that elicits truthful private information from agents by leveraging inter-agent agreement as a proxy for truthfulness in the absence of verifiable ground truth.

42

Publications

1.5K

Citations

71

Authors

35

Institutions

Publications per year

2017–2026

17

Variants

Peer Prediction MechanismPeer Prediction Mechanisms

Authors

71

  1. DC
    David C. Parkes

    Harvard University Press, United States

    8 publications · 398 citations

    8

    h-index

  2. YC
    Yiling Chen

    Harvard University Press, United States

    7 publications · 258 citations

    7

    h-index

  3. JW
    Jens Witkowski

    University of Freiburg, Germany

    6 publications · 383 citations

    6

    h-index

  4. YK
    Yuqing Kong

    University of Michigan, United States

    6 publications · 105 citations

    6

    h-index

  5. RF
    Rafael Frongillo

    University of Colorado Boulder, United States

    5 publications · 176 citations

    5

    h-index

1–5 of 71

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 361 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 76 citations

    4

    h-index

  3. 3

    h-index

  4. 3

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  5. ACM Transactions on Economics and Computation

    TEAC · 2 publications · 26 citations

    2

    h-index

1–5