Multi-Rank Smart Reserves

H. Aziz, Zhaohong Sun
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引用次数: 5

Abstract

We study the school choice problem where each school has flexible multi-ranked diversity goals, and each student may belong to multiple overlapping types, and consumes only one of the positions reserved for their types. We propose a novel choice function and show that it is the unique rule that satisfies three fundamental properties: maximal diversity, non-wastefulness, and justified envy-freeness. We provide a fast polynomial-time algorithm for our choice function that is based on the Dulmage Mendelsohn Decomposition Theorem as well as new insights into the combinatorial structure of constrained rank maximal matchings. Even for the case of minimum and maximum quotas for types (that capture two ranks), ours is the first known polynomial-time approach to compute an optimally diverse choice outcome. Finally, we prove that the choice function we design for schools, satisfies substitutability and hence can be directly embedded in the generalized deferred acceptance algorithm to achieve strategyproofness and stability. Our algorithms and results have immediate policy implications and directly apply to a variety of scenarios, such as where hiring positions or scarce medical resources need to be allocated while taking into account diversity concerns or ethical principles.
多级智能储备
我们研究了学校选择问题,其中每个学校都有灵活的多级多样性目标,每个学生可能属于多个重叠的类型,并且只占用为其类型保留的一个位置。我们提出了一个新的选择函数,并表明它是唯一的规则,满足三个基本性质:最大的多样性,非浪费和合理的嫉妒自由。我们基于Dulmage Mendelsohn分解定理为我们的选择函数提供了一个快速的多项式时间算法,以及对约束秩最大匹配的组合结构的新见解。即使对于类型的最小和最大配额(捕获两个级别),我们的方法也是已知的第一个计算最优多样化选择结果的多项式时间方法。最后,我们证明了我们为学校设计的选择函数满足可替代性,因此可以直接嵌入到广义延迟接受算法中,以实现策略的证明性和稳定性。我们的算法和结果具有直接的政策影响,并直接适用于各种情况,例如需要在考虑多样性问题或道德原则的同时分配招聘职位或稀缺医疗资源的情况。
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