English

Ordinal Maximin Guarantees for Group Fair Division

Computer Science and Game Theory 2025-03-06 v1

Abstract

We investigate fairness in the allocation of indivisible items among groups of agents using the notion of maximin share (MMS). While previous work has shown that no nontrivial multiplicative MMS approximation can be guaranteed in this setting for general group sizes, we demonstrate that ordinal relaxations are much more useful. For example, we show that if nn agents are distributed equally across gg groups, there exists a 11-out-of-kk MMS allocation for k=O(glog(n/g))k = O(g\log(n/g)), while if all but a constant number of agents are in the same group, we obtain k=O(logn/loglogn)k = O(\log n/\log \log n). We also establish the tightness of these bounds and provide non-asymptotic results for the case of two groups.

Keywords

Cite

@article{arxiv.2404.11543,
  title  = {Ordinal Maximin Guarantees for Group Fair Division},
  author = {Pasin Manurangsi and Warut Suksompong},
  journal= {arXiv preprint arXiv:2404.11543},
  year   = {2025}
}

Comments

Appears in the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024

R2 v1 2026-06-28T15:57:34.176Z