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An approximation algorithm for max-min fair allocation of indivisible goods

Published: 11 June 2007 Publication History

Abstract

In this paper we give the first approximation algorithm for the problem of max-min fair allocation of indivisible goods. The approximation ratio of our algorithm is Ω1√k log3 k. As a part of our algorithm, we design an iterative method for rounding a fractional matching on a tree which might be of independent interest.

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Cited By

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  • (2024)Group fairness in predict-then-optimize settings for restless banditsProceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence10.5555/3702676.3702839(3448-3469)Online publication date: 15-Jul-2024
  • (2024)Fast Algorithms for Maximizing the Minimum Eigenvalue in Fixed DimensionOperations Research Letters10.1016/j.orl.2024.107186(107186)Online publication date: Sep-2024
  • (2023)Lexicographic Min-Max Fairness in Task Assignments2023 62nd IEEE Conference on Decision and Control (CDC)10.1109/CDC49753.2023.10384128(3408-3414)Online publication date: 13-Dec-2023
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    cover image ACM Conferences
    STOC '07: Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
    June 2007
    734 pages
    ISBN:9781595936318
    DOI:10.1145/1250790
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 11 June 2007

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    Author Tags

    1. approximation algorithms
    2. game theory
    3. randomized rounding

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    STOC07
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    STOC07: Symposium on Theory of Computing
    June 11 - 13, 2007
    California, San Diego, USA

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    Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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    Cited By

    View all
    • (2024)Group fairness in predict-then-optimize settings for restless banditsProceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence10.5555/3702676.3702839(3448-3469)Online publication date: 15-Jul-2024
    • (2024)Fast Algorithms for Maximizing the Minimum Eigenvalue in Fixed DimensionOperations Research Letters10.1016/j.orl.2024.107186(107186)Online publication date: Sep-2024
    • (2023)Lexicographic Min-Max Fairness in Task Assignments2023 62nd IEEE Conference on Decision and Control (CDC)10.1109/CDC49753.2023.10384128(3408-3414)Online publication date: 13-Dec-2023
    • (2023)Polynomial-time Combinatorial Algorithm for General Max–Min Fair AllocationAlgorithmica10.1007/s00453-023-01105-386:2(485-504)Online publication date: 27-Feb-2023
    • (2022)Restricted Max-Min Allocation: Integrality Gap and Approximation AlgorithmAlgorithmica10.1007/s00453-022-00942-y84:7(1835-1874)Online publication date: 23-Feb-2022
    • (2021)Fair Allocation of Indivisible GoodsMathematics of Operations Research10.1287/moor.2020.109646:3(1038-1053)Online publication date: 1-Aug-2021
    • (2021)General Max-Min Fair AllocationComputing and Combinatorics10.1007/978-3-030-89543-3_6(63-75)Online publication date: 20-Oct-2021
    • (2020)Collective Decision MakingA Guided Tour of Artificial Intelligence Research10.1007/978-3-030-06164-7_18(587-627)Online publication date: 8-May-2020
    • (2018)Approximation and complexity of the optimization and existence problems for maximin share, proportional share, and minimax share allocation of indivisible goodsAutonomous Agents and Multi-Agent Systems10.5555/3288249.328826032:6(741-778)Online publication date: 1-Nov-2018
    • (2018)Fair Allocation of Indivisible GoodsProceedings of the 2018 ACM Conference on Economics and Computation10.1145/3219166.3219238(539-556)Online publication date: 11-Jun-2018
    • Show More Cited By

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