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Conference Paper

Maximizing Nash Social Welfare in 2-Value Instances

MPS-Authors
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Akrami,  Hannaneh
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Mehlhorn,  Kurt       
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Shahkarami,  Golnoosh
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

External Resource

https://ojs.aaai.org/index.php/AAAI/article/view/20402
(Publisher version)

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Citation

Akrami, H., Ray Chaudhury, B., Hoefer, M., Mehlhorn, K., Schmalhofer, M., Shahkarami, G., et al. (2022). Maximizing Nash Social Welfare in 2-Value Instances. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 4760-4767). Palo Alto, CA: AAAI. doi:10.1609/aaai.v36i5.20402.


Cite as: https://hdl.handle.net/21.11116/0000-000C-1FC6-3
Abstract
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