On Best-of-Both-Worlds Fair-Share Allocations

Moshe Babaioff, Tomer Ezra*, Uriel Feige

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

We consider the problem of fair allocation of indivisible items among n agents with additive valuations, when agents have equal entitlements to the goods, and there are no transfers. Best-of-Both-Worlds (BoBW) fairness mechanisms aim to give all agents both an ex-ante guarantee (such as getting the proportional share in expectation) and an ex-post guarantee. Prior BoBW results have focused on ex-post guarantees that are based on the “up to one item" paradigm, such as envy-free up to one item (EF1). In this work we attempt to give every agent a high value ex-post, and specifically, a constant fraction of her maximin share (MMS). There are simple examples in which previous BoBW mechanisms give some agent only a 1n fraction of her MMS. Our main result is a deterministic polynomial-time algorithm that computes a distribution over allocations that is ex-ante proportional, and ex-post, every allocation gives every agent at least half of her MMS. Moreover, the ex-post guarantee holds even with respect to a more demanding notion of a share, introduced in this paper, that we refer to as the truncated proportional share (TPS). Our guarantees are nearly best possible, in the sense that one cannot guarantee agents more than their proportional share ex-ante, and one cannot guarantee all agents value larger than a n2n-1 -fraction of their TPS ex-post.

Original languageEnglish
Title of host publicationWeb and Internet Economics - 18th International Conference, WINE 2022, Proceedings
EditorsKristoffer Arnsfelt Hansen, Tracy Xiao Liu, Azarakhsh Malekian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages237-255
Number of pages19
ISBN (Print)9783031228315
StatePublished - 2022
Externally publishedYes
Event18th International Conference on Web and Internet Economics, WINE 2022 - Troy, United States
Duration: 12 Dec 202215 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13778 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Web and Internet Economics, WINE 2022
Country/TerritoryUnited States
CityTroy
Period12/12/2215/12/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Best-of-both-worlds
  • Fair division
  • Maximin share
  • Truncated proportional share

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