Simple mechanisms for subadditive buyers via duality

Yang Cai, Mingfei Zhao
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引用次数: 112

Abstract

We provide simple and approximately revenue-optimal mechanisms in the multi-item multi-bidder settings. We unify and improve all previous results, as well as generalize the results to broader cases. In particular, we prove that the better of the following two simple, deterministic and Dominant Strategy Incentive Compatible mechanisms, a sequential posted price mechanism or an anonymous sequential posted price mechanism with entry fee, achieves a constant fraction of the optimal revenue among all randomized, Bayesian Incentive Compatible mechanisms, when buyers' valuations are XOS over independent items. If the buyers' valuations are subadditive over independent items, the approximation factor degrades to O(logm), where m is the number of items. We obtain our results by first extending the Cai-Devanur-Weinberg duality framework to derive an effective benchmark of the optimal revenue for subadditive bidders, and then analyzing this upper bound with new techniques.
通过对偶性的次加性购买者的简单机制
我们在多项目多投标人设置中提供简单且近似收益最优的机制。我们统一和改进了所有以前的结果,并将结果推广到更广泛的案例。特别地,我们证明了以下两种简单、确定性和优势策略激励兼容机制中较好的一种,即顺序发布价格机制或带有入场费的匿名顺序发布价格机制,在所有随机贝叶斯激励兼容机制中,当买家对独立项目的估值为XOS时,实现了最优收益的恒定比例。如果购买者的估价是独立项目的次加性,则近似因子退化为O(logm),其中m是项目的数量。本文首先对Cai-Devanur-Weinberg对偶框架进行了扩展,得到了次可加投标人最优收益的有效基准,然后用新技术对该上界进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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