现实世界中的Leximin分配

David Kurokawa, A. Procaccia, Nisarg Shah
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引用次数: 66

摘要

作为与加州一个主要学区合作的一部分,我们研究了将公立学校闲置教室公平分配给特许学校的问题。我们的方法围绕随机leximin机制展开。我们将之前的工作扩展到课堂分配设置,表明leximin机制是成比例的,无嫉妒的,有效的,并且不受群体策略的影响。我们还证明了leximin机制提供了一个(最坏情况下)4近似,可以分配的最大教室数量。我们基于真实数据的实验表明,leximin机制的非平凡实现在运行时间方面很好地扩展(尽管这个问题在理论上是难以解决的),并且在许多效率目标方面表现得非常好。我们煞费苦心地确立我们的方法的实用性,并讨论与部署有关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leximin Allocations in the Real World
As part of a collaboration with a major California school district, we study the problem of fairly allocating unused classrooms in public schools to charter schools. Our approach revolves around the randomized leximin mechanism. We extend previous work to the classroom allocation setting, showing that the leximin mechanism is proportional, envy-free, efficient, and group strategyproof. We also prove that the leximin mechanism provides a (worst-case) 4-approximation to the maximum number of classrooms that can possibly be allocated. Our experiments, which are based on real data, show that a nontrivial implementation of the leximin mechanism scales gracefully in terms of running time (even though the problem is intractable in theory), and performs extremely well with respect to a number of efficiency objectives. We take great pains to establish the practicability of our approach, and discuss issues related to its deployment.
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