A polynomial-time algorithm for computing a Pareto optimal and almost proportional allocation
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Abstract (arXiv)
We consider fair allocation of indivisible items under additive utilities. When the utilities can be negative, the existence and complexity of an allocation that satisfies Pareto optimality and proportionality up to one item (PROP1) is an open problem. We show that there exists a strongly polynomial-time algorithm that always computes an allocation satisfying Pareto optimality and proportionality up to one item even if the utilities are mixed and the agents have asymmetric weights. We point out that the result does not hold if either of Pareto optimality or PROP1 is replaced with slightly stronger concepts.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Sep 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 3.
6 papers.
- 2025Online Fair Division with Additional Informationcited by 6
- 2025Approximate Proportionality in Online Fair Divisioncited by 4
- 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Controlcited by 3
- 2025Understanding EFX Allocations: Counting and Variantscited by 3
- 2021PROPm Allocations of Indivisible Goods to Multiple Agentscited by 1
- 2022(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Mannacited by 0
- 2025Approximate Proportionality in Online Fair Division5 Aug 2025
- 2025Online Fair Division with Additional Information30 May 2025
- 2025Understanding EFX Allocations: Counting and Variants4 Apr 2025
- 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control2 Feb 2023
- 2022(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna6 Feb 2022
- 2021PROPm Allocations of Indivisible Goods to Multiple Agents24 May 2021