Breaking the 3/4 Barrier for Approximate Maximin Share
Hannaneh Akrami, Jugal Garg
Abstract
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 3 4 + O( 1n ). 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+Ω(1). In this paper, we bypass these barriers to show the existence of ( 34 + 3 3836 )-MMS allocations by developing new reduction rules and analysis techniques.
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Install the CLIlune papers fulltext 8fcaaf4b-d808-461e-bace-6f4f740b2791Cited by top-tier papers19
- Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive ValuationsHannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin, Golnoosh ShahkaramiNeurIPS 2023 · 27 citations
- Epistemic EFX Allocations Exist for Monotone ValuationsHannaneh Akrami, Nidhi RathiAAAI 2025 · 15 citations
- Truthful and Almost Envy-Free Mechanism of Allocating Indivisible Goods: the Power of RandomnessXiaolin Bu, Biaoshuai TaoFOCS 2025 · 14 citations
- Online Fair Division with Additional InformationTzeh Yuan Neoh, Jannik Peters, Nicholas TehICML 2026 · 12 citations
- Share-Based Fairness for Arbitrary EntitlementsMoshe Babaioff, Uriel FeigeSTOC 2025 · 10 citations
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