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Bayesian incentive compatibility via matchings

Published: 23 January 2011 Publication History

Abstract

We give a simple reduction from Bayesian incentive compatible mechanism design to algorithm design in settings where the agents' private types are multidimensional. The reduction preserves performance up to an additive loss that can be made arbitrarily small in polynomial time in the number of agents and the size of the agents' type spaces.

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  1. Bayesian incentive compatibility via matchings

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    cover image ACM Conferences
    SODA '11: Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete algorithms
    January 2011
    1785 pages

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    Society for Industrial and Applied Mathematics

    United States

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    Published: 23 January 2011

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    SODA '11
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    SODA '11: 22nd ACM-SIAM Symposium on Discrete Algorithms
    January 23 - 25, 2011
    California, San Francisco

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