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October 10, 2025Open Access

Fairness in Repeated Matching: A Maximin Perspective

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Authors

ELEugene A. LimTNTzeh Yuan NeohNTNicholas Teh

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Overview

This analysis uncovers optimal matching strategies for agents to maximize utility, indicating computational complexities.

Key Points

  • The study finds that determining optimal matchings can be computationally intractable under certain conditions.
  • Key challenges involve maximizing the utility of the least advantaged agent in a sequential decision-making model.
  • Approximation algorithms and fixed-parameter tractability offer potential solutions for efficiently solving specific cases.
  • Characterizations of Pareto-optimal matchings could enhance understanding within matching theory and allocations.

Cite This Study

Lim et al. (2025) studied this question.

synapsesocial.com/papers/68e97a43edb160cc8d84e72ahttps://doi.org/10.48550/arxiv.2510.04624
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Optimal Matching with Matching Priority2024
  2. 2Maximal matchings2026
  3. 3Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All2024 · 1 citations
  4. 4Truthful Matching with Online Items and Offline Agents2023
  5. 5Algorithmically Fair Maximization of Multiple Submodular Objective Functions2024