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Peer prediction mechanisms incentivize agents to truthfully report their signals even in the absence of verification by comparing agents' reports with those of their peers.
On conjugate convex functions
Werner Fenchel · 1949
Earlier work this paper cites.
Markov processes and the h-theorem
Tetsuzo Morimoto · 1963
Earlier work this paper cites.
Eine informationstheoretische ungleichung und ihre anwendung auf beweis der ergodizitaet von markoffschen ketten
Imre Csiszár · 1964
Earlier work this paper cites.
A general class of coefficients of divergence of one distribution from another
Syed Mumtaz Ali and Samuel D Silvey · 1966
Earlier work this paper cites.
Generalized projections for non-negative functions
Imre Csiszár · 1995
Earlier work this paper cites.
Empirical Processes in M-estimation , volume 6
Sara A van de Geer and Sara van de Geer · 2000
Earlier work this paper cites.
A Bayesian Truth Serum for subjective data
D. Prelec · 2004
Earlier work this paper cites.
Eliciting informative feedback: The peer-prediction method
N. Miller, P. Resnick, and R. Zeckhauser · 2005
Earlier work this paper cites.
Estimating divergence functionals and the likelihood ratio by convex risk minimization
XuanLong Nguyen, Martin J Wainwright, and Michael I Jordan · 2010
Earlier work this paper cites.
Combinatorial methods in density estimation
Luc Devroye and Gábor Lugosi · 2012
Earlier work this paper cites.
Peer prediction without a common prior
Jens Witkowski and David C Parkes · 2012
Earlier work this paper cites.
Crowdsourced judgement elicitation with endogenous proficiency
Anirban Dasgupta and Arpita Ghosh · 2013
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A robust bayesian truth serum for non-binary signals
Goran Radanovic and Boi Faltings · 2013
Cited alongside, same era.
Weak convergence and empirical processes: with applications to statistics
Jon Wellner et al · 2013
Cited alongside, same era.
Incentives for truthful information elicitation of continuous signals
Goran Radanovic and Boi Faltings · 2014
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Elicitability and knowledge-free elicitation with peer prediction
Peter Zhang and Yiling Chen · 2014
Cited alongside, same era.
Convex analysis
Ralph Tyrell Rockafellar · 2015
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Peer prediction with heterogeneous users
Arpit Agarwal, Debmalya Mandal, David C Parkes, and Nisarg Shah · 2017
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Game theory for data science: eliciting truthful information
Boi Faltings and Goran Radanovic · 2017
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Machine-learning aided peer prediction
Yang Liu and Yiling Chen · 2017
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Lecture notes for ece598yw: Information-theoretic methods for high-dimensional statistics, 2017
Yihong Wu · 2017
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Eliciting expertise without verification
Yuqing Kong and Grant Schoenebeck · 2018
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Water from two rocks: Maximizing the mutual information
Yuqing Kong and Grant Schoenebeck · 2018
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Incentivizing evaluation via limited access to ground truth: Peer-prediction makes things worse
Alice Gao, James R Wright, and Kevin Leyton-Brown · 2016
Cited alongside, same era.
Putting peer prediction under the micro (economic) scope and making truth-telling focal
Yuqing Kong, Katrina Ligett, and Grant Schoenebeck · 2016
Cited alongside, same era.
Incentives for effort in crowdsourcing using the peer truth serum
Goran Radanovic, Boi Faltings, and Radu Jurca · 2016
Cited alongside, same era.
Informed truthfulness in Multi-Task peer prediction
Victor Shnayder, Arpit Agarwal, Rafael Frongillo, and David C Parkes · 2016
Cited alongside, same era.
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou, and Michael I. Jordan · 2016
Cited alongside, same era.
Equilibrium selection in information elicitation without verification via information monotonicity
Yuqing Kong and Grant Schoenebeck
Cited in the paper.
Yang Liu and Yiling Chen · 2018
Later among the works it cites.
Personalized peer truth serum for eliciting multi-attribute personal data
Naman Goel and Boi Faltings · 2019
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An information theoretic framework for designing information elicitation mechanisms that reward truth-telling
Yuqing Kong and Grant Schoenebeck · 2019
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Dominantly truthful multi-task peer prediction with a constant number of tasks
Yuqing Kong · 2020
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Information elicitation mechanisms for statistical estimation
Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, and Fang-Yi Yu · 2020
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