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In the setting where information cannot be verified, we propose a simple yet powerful information theoretical framework---the Mutual Information Paradigm---for information elicitation mechanisms.
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Syed Mumtaz Ali and Samuel D Silvey · 1966
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A Bayesian Truth Serum for subjective data
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Eliciting informative feedback: The peer-prediction method
N. Miller, P. Resnick, and R. Zeckhauser · 2005
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Thomas M Cover and Joy A Thomas · 2006
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On divergences and informations in statistics and information theory
Friedrich Liese and Igor Vajda · 2006
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Strictly proper scoring rules, prediction, and estimation
Tilmann Gneiting and Adrian E Raftery · 2007
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Collusion-resistant, incentive-compatible feedback payments
Radu Jurca and Boi Faltings · 2007
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Mechanisms for making crowds truthful
Radu Jurca and Boi Faltings · 2009
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Information geometry of divergence functions
S-I Amari and A Cichocki · 2010
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A robust Bayesian Truth Serum for small populations
J. Witkowski and D. Parkes · 2012
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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
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Truth serums for massively crowdsourced evaluation tasks
Vijay Kamble, Nihar Shah, David Marn, Abhay Parekh, and Kannan Ramachandran · 2015
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Incentive schemes for participatory sensing
Goran Radanovic and Boi Faltings · 2015
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A geometric method to construct minimal peer prediction mechanisms
Rafael M Frongillo and Jens Witkowski · 2016
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A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling
Y. Kong and G. Schoenebeck · 2016
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Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal
Y. Kong, G. Schoenebeck, and K. Ligett · 2016
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Equilibrium selection in information elicitation without verification via information monotonicity
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Boi Faltings, Radu Jurca, Pearl Pu, and Bao Duy Tran · 2014
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Incentives for truthful information elicitation of continuous signals
Goran Radanovic and Boi Faltings · 2014
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Minimum truth serums with optional predictions
Blake Riley · 2014
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Robust Peer Prediction Mechanisms
Jens Witkowski · 2014
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Elicitability and knowledge-free elicitation with peer prediction
Peter Zhang and Yiling Chen · 2014
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Peer prediction with heterogeneous tasks
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Informed Truthfulness in Multi-Task Peer Prediction
V. Shnayder, A. Agarwal, R. Frongillo, and D. C. Parkes · 2016
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Peer prediction with heterogeneous users
Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah · 2017
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