On the Fairness of Normalized p-Means for Allocating Goods and Chores
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Abstract (arXiv)
Allocating items in a fair and economically efficient manner is a central problem in fair division. We study this problem for agents with additive preferences, when items are all goods or all chores, divisible or indivisible. The celebrated notion of Nash welfare is known to produce fair and efficient allocations for both divisible and indivisible goods; there is no known analogue for dividing chores. The Nash welfare objective belongs to a large, parameterized family of objectives called the p-mean welfare functions, which includes other notable members, like social welfare and egalitarian welfare. However, among the members of this family, only the Nash welfare produces fair allocations for goods. Incidentally, Nash welfare is also the only member that satisfies the axiom of scale invariance, which is crucially associated with its fairness properties. We define the class of "normalized p-mean" objectives, which imparts the missing key axiom of scale invariance to the p-mean family. Our results show that optimizing the normalized p-mean objectives produces fair and efficient allocations when the items are goods or chores, divisible or indivisible. For instance, the normalized p-means gives us an infinite class of objectives that produce (i) proportional and Pareto efficient allocations for divisible goods, (ii) approximately proportional and Pareto efficient allocations for divisible chores, (iii) EF1 and Pareto efficient allocations for indivisible goods for two agents, and (iv) EF1 and Pareto efficient allocations for indivisible chores for two agents.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2024.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 3.
6 papers.
- 2024Temporal Fair Division of Indivisible Itemscited by 11
- 2024p-Mean Regret for Stochastic Banditscited by 6
- 2025Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Needcited by 3
- 2026The Cost of EFX: Generalized-Mean Welfare and Complexity Dichotomies with Few Surplus Itemscited by 1
- 2026Improved Algorithms for Nash Welfare in Linear Banditscited by 1
- 2026Price of Fairness in Bandits: A Tight Minimax Characterizationcited by 0
- 2026Price of Fairness in Bandits: A Tight Minimax Characterization15 Jul 2026
- 2026Improved Algorithms for Nash Welfare in Linear Bandits30 Jan 2026
- 2026The Cost of EFX: Generalized-Mean Welfare and Complexity Dichotomies with Few Surplus Items19 Jan 2026
- 2025Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need24 Oct 2025
- 2024p-Mean Regret for Stochastic Bandits14 Dec 2024
- 2024Temporal Fair Division of Indivisible Items18 Oct 2024