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We consider active learning under incentive compatibility constraints.
Theory of games and economic behavior (commemorative edition)
John Von Neumann and Oskar Morgenstern · 1953
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The foundations of statistics
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Attitudes toward risk: Theoretical implications of an experiment in rural india
Hans P Binswanger · 1981
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Effective scoring rules for probabilistic forecasts
Daniel Friedman · 1983
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A bayesian sequential experimental study of learning in games
Mahmoud A El-Gamal, Richard D McKelvey, and Thomas R Palfrey · 1993
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Giving according to garp: An experimental test of the consistency of preferences for altruism
James Andreoni and John Miller · 2002
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Risk aversion and incentive effects
Charles A Holt and Susan K Laury · 2002
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What do bargainers’ preferences look like? experiments with a convex ultimatum game
James Andreoni, Marco Castillo, and Ragan Petrie · 2003
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Learnability and rationality of choice
Gil Kalai · 2003
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Elicitation using multiple price list formats
Steffen Andersen, Glenn W Harrison, Morten Igel Lau, and E Elisabet Rutström · 2006
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Learning from revealed preference
Eyal Beigman and Rakesh Vohra · 2006
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Consistency and heterogeneity of individual behavior under uncertainty
Syngjoo Choi, Raymond Fisman, Douglas Gale, and Shacher Kariv · 2007
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A bound on the label complexity of agnostic active learning
Steve Hanneke · 2007
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Agnostic active learning
Maria-Florina Balcan, Alina Beygelzimer, and John Langford · 2009
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Prediction markets, mechanism design, and cooperative game theory
Vincent Conitzer · 2009
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Incentive compatible regression learning
Ofer Dekel, Felix Fischer, and Ariel D Procaccia · 2010
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Two faces of active learning
Sanjoy Dasgupta · 2011
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Bayesian rapid optimal adaptive design (broad): Method and application distinguishing models of risky choice
Debajyoti Ray, Daniel Golovin, Andreas Krause, and Colin Camerer · 2012
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Estimating time preferences from budget set choices using optimal adaptive design
Taisuke Imai and Colin F Camerer · 2016
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Dynamic belief elicitation, 2017
Christopher P Chambers and Nicholas S Lambert · 2017
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Machine-learning aided peer prediction
Yang Liu and Yiling Chen · 2017
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Incentives in experiments: A theoretical analysis
Yaron Azrieli, Christopher P Chambers, and Paul J Healy · 2018
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Learnability and models of decision making under uncertainty
Pathikrit Basu and Federico Echenique · 2018
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Learning time dependent choice
Zachary Chase and Siddharth Prasad · 2018
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