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  MMS Approximations Under Additive Leveled Valuations

Afshinmehr, M., Kazemi, M., & Mehlhorn, K. (2024). MMS Approximations Under Additive Leveled Valuations. Retrieved from https://arxiv.org/abs/2410.02274.

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 Creators:
Afshinmehr, Mahyar1, Author
Kazemi, Mehrafarin1, Author
Mehlhorn, Kurt2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Free keywords: Computer Science, Computer Science and Game Theory, cs.GT
 Abstract: We study the problem of fairly allocating indivisible goods to a set of
agents with additive leveled valuations. A valuation function is called leveled
if and only if bundles of larger size have larger value than bundles of smaller
size. The economics literature has well studied such valuations.
We use the maximin-share (MMS) and EFX as standard notions of fairness. We
show that an algorithm introduced by Christodoulou et al. ([11]) constructs an
allocation that is EFX and $\frac{\lfloor \frac{m}{n} \rfloor}{\lfloor
\frac{m}{n} \rfloor + 1}\text{-MMS}$. In the paper, it was claimed that the
allocation is EFX and $\frac{2}{3}\text{-MMS}$. However, the proof of the
MMS-bound is incorrect. We give a counter-example to their proof and then prove
a stronger approximation of MMS.

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Language(s): eng - English
 Dates: 2024-10-032024
 Publication Status: Published online
 Pages: 6 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2410.02274
URI: https://arxiv.org/abs/2410.02274
BibTex Citekey: Afshinmehr2410.02274
 Degree: -

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