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.2023/303Markdown
[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.2023/303BibTeX
@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/}
}