Breaking the 3/4 Barrier for Approximate Maximin Share
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Abstract (arXiv)
We study the fundamental problem of fairly allocating a set of indivisible goods among n agents with additive valuations using the desirable fairness notion of maximin share (MMS). MMS is the most popular share-based notion, in which an agent finds an allocation fair to her if she receives goods worth at least her MMS value. An allocation is called MMS if all agents receive at least their MMS value. Since MMS allocations need not exist when n>2, a series of works showed the existence of approximate MMS allocations with the current best factor of frac34 + O(frac1n). However, a simple example in [DFL82, BEF21, AGST23] showed the limitations of existing approaches and proved that they cannot improve this factor to 3/4 + Omega(1). In this paper, we bypass these barriers to show the existence of (frac34 + frac33836)-MMS allocations by developing new reduction rules and analysis techniques.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jul 2023.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 2.
6 papers.
- 2025Online Fair Division with Additional Informationcited by 6
- 2026TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Abilitycited by 3
- 2024Fair Division with Market Valuescited by 2
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Divisioncited by 0
- 2025On Approximate MMS Allocations on Restricted Graph Classescited by 0
- 2026Maximin Share Guarantees via Limited Cost-Sensitive Sharingcited by 0
- 2026TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability10 Aug 2026
- 2026Maximin Share Guarantees via Limited Cost-Sensitive Sharing24 Feb 2026
- 2025On Approximate MMS Allocations on Restricted Graph Classes8 Aug 2025
- 2025Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division20 Jul 2025
- 2025Online Fair Division with Additional Information30 May 2025
- 2024Fair Division with Market Values30 Oct 2024