Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105477
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dc.contributorDepartment of Computingen_US
dc.creatorWu, Xen_US
dc.creatorLi, Ben_US
dc.creatorGan, Jen_US
dc.date.accessioned2024-04-15T07:34:36Z-
dc.date.available2024-04-15T07:34:36Z-
dc.identifier.isbn978-0-9992411-9-6 (Online)en_US
dc.identifier.urihttp://hdl.handle.net/10397/105477-
dc.language.isoenen_US
dc.publisherInternational Joint Conferences on Artificial Intelligenceen_US
dc.rightsCopyright © 2021 International Joint Conferences on Artificial Intelligenceen_US
dc.rightsAll rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.en_US
dc.rightsPosted with permission of the IJCAI Organization (https://www.ijcai.org/).en_US
dc.rightsThe following publication Wu, X., Li, B., & Gan, J.(2021). Budget-feasible maximum nash social welfare is almost envy-free. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal-themed Virtual Reality, 19th-26th August, 2021, p. 465-471. IJCAL, 2021 is available at https://doi.org/10.24963/ijcai.2021/65.en_US
dc.titleBudget-feasible maximum Nash social welfare is almost envy-freeen_US
dc.typeConference Paperen_US
dc.identifier.spage465en_US
dc.identifier.epage471en_US
dc.identifier.doi10.24963/ijcai.2021/65en_US
dcterms.abstractThe Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency. In the context of fair allocation of indivisible goods, it has been shown by Caragiannis et al. (EC 2016 and TEAC 2019) that an allocation maximizing the NSW is envy-free up to one good (EF1). In this paper, we are interested in the fairness of the NSW in a budget-feasible allocation problem, in which each item has a cost that will be incurred to the agent it is allocated to, and each agent has a budget constraint on the total cost of items she receives. We show that a budget-feasible allocation that maximizes the NSW achieves a 1/4-approximation of EF1 and the approximation ratio is tight. The approximation ratio improves gracefully when the items have small costs compared with the agents' budgets; it converges to 1/2 when the budget-cost ratio approaches infinity.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal-themed Virtual Reality, 19th-26th August, 2021, p. 465-471en_US
dcterms.issued2021-
dc.relation.conferenceInternational Joint Conference on Artificial Intelligence [IJCAI]en_US
dc.description.validate202402 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCOMP-0121-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS50798460-
dc.description.oaCategoryPublisher permissionen_US
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