Optimal Auctions vs. Anonymous Pricing

被引:19
|
作者
Alaei, Saeed [1 ]
Hartline, Jason [2 ]
Niazadeh, Rad [3 ]
Pountourakis, Emmanouil [2 ]
Yuan, Yang [3 ]
机构
[1] Google Res, Mountain View, CA 94043 USA
[2] Northwestern Univ, Evanston, IL USA
[3] Cornell Univ, Ithaca, NY USA
来源
2015 IEEE 56TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE | 2015年
关键词
D O I
10.1109/FOCS.2015.92
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For selling a single item to agents with independent but non-identically distributed values, the revenue optimal auction is complex. With respect to it, Hartline and Roughgarden [1] showed that the approximation factor of the second-price auction with an anonymous reserve is between two and four. We consider the more demanding problem of approximating the revenue of the ex ante relaxation of the auction problem by posting an anonymous price (while supplies last) and prove that their worst-case ratio is e. As a corollary, the upper-bound of anonymous pricing or anonymous reserves versus the optimal auction improves from four to e. We conclude that, up to an e factor, discrimination and simultaneity are unimportant for driving revenue in single-item auctions.
引用
收藏
页码:1446 / 1463
页数:18
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