Bayesian Incentive Compatibility via Fractional Assignments

@inproceedings{Bei2011BayesianIC,
  title={Bayesian Incentive Compatibility via Fractional Assignments},
  author={Xiaohui Bei and Zhiyi Huang},
  booktitle={SODA},
  year={2011}
}
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
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 70 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

70 Citations

051015'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 70 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…