First-Choice Maximality Meets Ex-Ante and Ex-Post Fairness

Abstract

For the assignment problem where multiple indivisible items are allocated to a group of agents given their ordinal preferences, we design randomized mechanisms that satisfy first-choice maximality (FCM), i.e., maximizing the number of agents assigned their first choices, together with Pareto efficiency (PE). Our mechanisms also provide guarantees of ex-ante and ex-post fairness. The generalized eager Boston mechanism is ex-ante envy-free, and ex-post envy-free up to one item (EF1). The generalized probabilistic Boston mechanism is also ex-post EF1, and satisfies ex-ante efficiency instead of fairness. We also show that no strategyproof mechanism satisfies ex-post PE, EF1, and FCM simultaneously. In doing so, we expand the frontiers of simultaneously providing efficiency and both ex-ante and ex-post fairness guarantees for the assignment problem.

Cite

Text

Guo et al. "First-Choice Maximality Meets Ex-Ante and Ex-Post Fairness." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/303

Markdown

[Guo et al. "First-Choice Maximality Meets Ex-Ante and Ex-Post Fairness." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/guo2023ijcai-first/) doi:10.24963/IJCAI.2023/303

BibTeX

@inproceedings{guo2023ijcai-first,
  title     = {{First-Choice Maximality Meets Ex-Ante and Ex-Post Fairness}},
  author    = {Guo, Xiaoxi and Sikdar, Sujoy and Xia, Lirong and Cao, Yongzhi and Wang, Hanpin},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {2719-2727},
  doi       = {10.24963/IJCAI.2023/303},
  url       = {https://mlanthology.org/ijcai/2023/guo2023ijcai-first/}
}