Bayesian Incentive Compatibility via Fractional Assignments

  title={Bayesian Incentive Compatibility via Fractional Assignments},
  author={Xiaohui Bei and Zhiyi Huang},
Very recently, Hartline and Lucier [14] studied single-parameter mechanism design problems in the Bayesian setting. They proposed a black-box reduction that converted Bayesian approximation algorithms into Bayesian-Incentive-Compatible (BIC) mechanisms while preserving social welfare. It remains a major open question if one can find similar reduction in the more important multi-parameter setting. In this paper, we give positive answer to this question when the prior distribution has finite and… CONTINUE READING
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