Fair Division with Allocator's Preference
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Abstract (arXiv)
We study the fair allocation of indivisible resources among agents. Most prior work focuses on fairness and/or efficiency among agents. However, the allocator, as the resource owner, may also be involved in many scenarios (e.g., government resource allocation, heritage division, company personnel assignment, etc). The allocator inclines to obtain a fair or efficient allocation based on her preference over the items and to whom each item is allocated. We propose a model and study two problems: 1) Find an allocation fair to both agents and allocator; 2) Maximize allocator's efficiency under agents' fairness. We consider the two fundamental fairness criteria: envy-freeness and proportionality. For the first problem, we study the existence of an allocation that is envy-free up to c goods (EF-c) or proportional up to c goods (PROP-c) from both the agents' and the allocator's perspectives, called doubly EF-c or doubly PROP-c. When the allocator's utility only depends on the items (not recipients), we prove that a doubly EF-1 allocation always exists. For the general setting where the allocator has a preference over the items and to whom each item is allocated, a doubly EF-1 allocation always exists for two agents, a doubly PROP-2 allocation always exists for personalized bi-valued valuations, and a doubly PROP-O(log n) allocation always exists. For the second problem, we give (in)approximability results with asymptotically tight bounds in most settings. When agents' valuations are binary, maximizing the allocator's social welfare while ensuring agents' fairness criteria of PROP-c (with a general number of agents) and EF-c (with a constant number of agents) are both polynomial-time solvable for any integer c. Strong inapproximability holds for most of the other settings (general valuations, EF-c, etc).
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Oct 2023.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 2.
7 papers.
- 2024Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocationcited by 3
- 2024Fair Division with Market Valuescited by 3
- 2025Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensionscited by 1
- 2025Multilevel Fair Allocation with Matroid-Rank Preferencescited by 1
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Divisioncited by 0
- 2026Multilevel Fair Allocation under Additive Preferencescited by 0
- 2026Exact Cut Complexity of Equal-Length Proportional Cake Cuttingcited by 0
- 2026Exact Cut Complexity of Equal-Length Proportional Cake Cutting14 Oct 2026
- 2026Multilevel Fair Allocation under Additive Preferences25 Aug 2026
- 2025Multilevel Fair Allocation with Matroid-Rank Preferences30 Dec 2025
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division20 Jul 2025
- 2025Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensions26 Jun 2025
- 2024Fair Division with Market Values30 Oct 2024
- 2024Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation10 Jun 2024