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Marco Schmalhofer
Marco Schmalhofer
Verified email at em.uni-frankfurt.de
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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
162022
Best of both worlds: Agents with entitlements
M Hoefer, M Schmalhofer, G Varricchio
arXiv preprint arXiv:2209.03908, 2022
122022
When dividing mixed manna is easier than dividing goods: Competitive equilibria with a constant number of chores
J Garg, M Hoefer, P McGlaughlin, M Schmalhofer
International Symposium on Algorithmic Game Theory, 329-344, 2021
62021
Maximizing Nash social welfare in 2-value instances: the half-integer case
H Akrami, B Ray Chaudhury, M Hoefer, K Mehlhorn, M Schmalhofer, ...
arXiv preprint arXiv:2207.10949, 2022
22022
Approximating Nash social welfare in 2-valued instances
M Hoefer, M Schmalhofer, G Varricchio
arXiv e-prints, arXiv: 2107.08965, 2021
12021
Competitive Equilibria with a Constant Number of Chores
J Garg, P McGlaughlin, M Hoefer, M Schmalhofer
Journal of Artificial Intelligence Research 78, 1201-1219, 2023
2023
Maximizing Nash Social Welfare in 2-Value Instances: Delineating Tractability
H Akrami, BR Chaudhury, M Hoefer, K Mehlhorn, M Schmalhofer, ...
arXiv preprint arXiv:2207.10949, 2022
2022
A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere
M Schmalhofer
Conference on Learning Theory, 3285-3295, 2020
2020
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