Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
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Abstract (arXiv)
We consider a fairness problem in resource allocation where multiple groups demand resources from a common source with the total fixed amount. The general model was introduced by Elzayn et al. [FAT*'19]. We follow Donahue and Kleinberg [FAT*'20] who considered the case when the demand distribution is known. We show that for many common demand distributions that satisfy sharp lower tail inequalities, a natural allocation that provides resources proportional to each group's average demand performs very well. More specifically, this natural allocation is approximately fair and efficient (i.e., it provides near maximum utilization). We also show that, when small amount of unfairness is allowed, the Price of Fairness (PoF), in this case, is close to 1.
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References · 6
- 2016Equality of Opportunity in Supervised Learningcited by 2,000
- 2017Runaway Feedback Loops in Predictive Policingcited by 97
- 2018Fair Algorithms for Learning in Allocation Problemscited by 29
- 2019Fairness and Utilization in Allocating Resources with Uncertain Demandcited by 16
- 2019Online Fair Division: A Surveycited by 16
- 2020Sequential Fair Allocation of Limited Resources under Stochastic Demandscited by 4
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