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  EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number

Akrami, H., Alon, N., Ray Chaudhury, B., Garg, J., Mehlhorn, K., & Mehta, R. (2023). EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number. In EC 2023 (pp. 61-61). New York, NY: ACM.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-1437-D Version Permalink: https://hdl.handle.net/21.11116/0000-000F-1438-C
Genre: Conference Paper
Latex : {EFX}: {A} Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number

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 Creators:
Akrami, Hannaneh1, Author           
Alon, Noga2, Author
Ray Chaudhury, Bhaskar2, Author           
Garg, Jugal2, Author           
Mehlhorn, Kurt1, Author                 
Mehta, Ruta2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3580507.3597799
BibTex Citekey: Akrami_EC23
 Degree: -

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Title: 24th ACM Conference on Economics and Computation
Place of Event: London, UK
Start-/End Date: 2023-07-09 - 2023-07-12

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Title: EC 2023
  Subtitle : Proceedings of the 24th ACM Conference on Economics and Computation
  Abbreviation : EC 2023
  Other : EC '23
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 61 - 61 Identifier: ISBN: 979-8-4007-0104-7