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The problem of peer prediction is to elicit information from agents in settings without any objective ground truth against which to score reports.
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A Bayesian Truth Serum For Subjective Data
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Incentives for Answering Hypothetical Questions. In Workshop on Social Computing and User Generated Content, EC-11
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A Robust Bayesian Truth Serum for Small Populations. In AAAI’12
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Crowdsourced Judgement Elicitation with Endogenous Proficiency. In WWW13
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A Game-Theoretic Analysis of the ESP Game
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Peer and self assessment in massive online classes
Chinmay Kulkarni, Koh Pang Wei, Huy Le, Daniel Chia, Kathryn Papadopoulos, Justin Cheng, Daphne Koller, and Scott R. Klemmer. 2013 · 2013
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Tuned Models of Peer Assessment in MOOCs
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Learning the Prior in Minimal Peer Prediction. In EC’13
Jens Witkowski and David C Parkes. 2013 · 2013
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Incentives to Counter Bias in Human Computation. In HCOMP 2014
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Trick or Treat : Putting Peer Prediction to the Test. In EC’14
Xi Alice Gao, Andrew Mao, Yiling Chen, and Ryan P Adams. 2014 · 2014
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Incentives for Truthful Information Elicitation of Continuous Signals. In AAAI’14
Goran Radanovic and Boi Faltings. 2014 · 2014
Incentives for Subjective Evaluations with Private Beliefs
Goran Radanovic and Boi Faltings. 2015b · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
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Mechanical TA : Partially Automated High-Stakes Peer Grading. In SIGSCE’15
James R Wright, Chris Thornton, and Kevin Leyton-Brown. 2015 · 2015
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Game Theory Based Peer Grading Mechanisms For MOOCs. In Learning@Scale 2015
William Wu, Christos Tzamos, Constantinos Daskalakis, Matthew Weinberg, and Nicolaas Kaashoek. 2015 · 2015
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Incentivizing Evaluation via Limited Access to Ground Truth : Peer Prediction Makes Things Worse
Xi Alice Gao, R. James Wright, and Kevin Leyton-Brown. 2016 · 2016
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Output Agreement Mechanisms and Common Knowledge. In HCOMP’14
Bo Waggoner and Yiling Chen. 2014 · 2014
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Optimum Statistical Estimation with Strategic Data Sources. In Proceedings of The 28th Conference on Learning Theory
Yang Cai, Constantinos Daskalakis, and Christos Papadimitriou. 2015 · 2015
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Truth Serums for Massively Crowdsourced Evaluation Tasks
Vijay Kamble, Nihar Shah, David Marn, Abhay Parekh, and Kannan Ramachandran. 2015 · 2015
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Incentive Schemes for Participatory Sensing. In AAMAS 2015
Goran Radanovic and Boi Faltings. 2015a · 2015
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Yuqing Kong and Grant Schoenebeck. 2016 · 2016
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Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal
Yuqing Kong, Grant Schoenebeck, and Katrina Ligett. 2016 · 2016
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Incentives for Effort in Crowdsourcing using the Peer Truth Serum
Goran Radanovic, Boi Faltings, and Radu Jurca. 2016 · 2016
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Informed Truthfulness in Multi-Task Peer Prediction
Victor Shnayder, Arpit Agarwal, Rafael Frongillo, and David C. Parkes. 2016a · 2016
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Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics
Victor Shnayder, Rafael Frongillo, and David C. Parkes. 2016b · 2016
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