Worst-Case Mechanism Design via Bayesian Analysis
Worst-Case Mechanism Design via Bayesian Analysis
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通过贝叶斯分析进行最坏情况机制设计
DOI:
10.1137/16m1067275
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
P. Lu
中科院分区:
文献类型:
--
作者:
Xiaohui Bei;Ning Chen;N. Gravin;P. Lu
Budget feasible mechanism design is the study of procurement combinatorial auctions in which the sellers have private costs to produce items, and the buyer (auctioneer) aims to maximize her valuation function on a subset of purchased items under the budget constraint on the total payment. One of the most important questions in the field is “which valuation domains admit truthful budget feasible mechanisms with `small' approximations to the social optimum?” Singer [Proceedings of the 51st FOCS, IEEE Press, Piscataway, NJ, 2010, pp. 765--774] showed that submodular functions have a constant approximation mechanism. Dobzinski, Papadimitriou, and Singer [Proceedings of the 12th ACM Conference on Electronic Commerce, ACM, New York, 2011, pp. 273--282] gave an $O(\log^2n)$ approximation mechanism for subadditive functions and remarked that “A fundamental question is whether, regardless of computational constraints, a constant-factor budget feasible mechanism exists for subadditive functions.” In this paper, we ...