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Hannaneh Akrami
Hannaneh Akrami
Max Planck Institute for Informatics, Saarbrücken Graduate School of Computer Science, Saarland
Verified email at mpi-inf.mpg.de - Homepage
Title
Cited by
Cited by
Year
Maximizing Nash social welfare in 2-value instances
H Akrami, BR Chaudhury, M Hoefer, K Mehlhorn, M Schmalhofer, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 4760-4767, 2022
32022
Nash social welfare for 2-value instances
H Akrami, BR Chaudhury, K Mehlhorn, G Shahkarami, Q Vermande
arXiv preprint arXiv:2106.14816, 2021
22021
EFX Allocations: Simplifications and Improvements
H Akrami, BR Chaudhury, J Garg, K Mehlhorn, R Mehta
arXiv preprint arXiv:2205.07638, 2022
12022
An EF2X Allocation Protocol for Restricted Additive Valuations
H Akrami, R Rezvan, M Seddighin
arXiv preprint arXiv:2202.13676, 2022
12022
Ratio-balanced maximum flows
H Akrami, K Mehlhorn, T Odland
Information Processing Letters 150, 13-17, 2019
12019
Maximizing Nash Social Welfare in 2-Value Instances: The Half-Integer Case
H Akrami, BR Chaudhury, M Hoefer, K Mehlhorn, M Schmalhofer, ...
arXiv preprint arXiv:2207.10949, 2022
2022
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