Artificial Intelligence and Machine Learning
2023
Integrating Advanced Machine Learning Methods into Market Mechanisms
Jakob Weissteiner
Doctoral thesis
University of Zurich, Department of Informatics
[pdf]Bayesian Optimization-based Combinatorial Assignment
Jakob Weissteiner*, Jakob Heiss*, Julien Siems* and Sven Seuken.
In Proceedings of the Thirty-seventh AAAI Conference on Artificial Intelligence AAAI'23,
Washington, D.C., USA, February 2023 (forthcoming).
Full paper version including appendix: [pdf on arXiv] [code]
2022
NOMU: Neural Optimization-based Model Uncertainty
Jakob Weissteiner*, Hanna Wutte*, Jakob Heiss*, Sven Seuken, and Josef Teichmann.
In Proceedings of the Thirty-ninth International Conference on Machine Learning ICML'22,
Baltimore, USA, July 2022.
Full paper version including appendix: [pdf on arXiv] [code]
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
Jakob Weissteiner*, Jakob Heiss*, Julien Siems* and Sven Seuken.
In Proceedings of the Thirty-first International joint Conference on Artificial Intelligence IJCAI'22,
Vienna, AUT, July 2022.
Full paper version including appendix: [pdf on arXiv] [code]
Fourier Analysis-based Iterative Combinatorial Auctions
Jakob Weissteiner*, Chris Wendler*, Sven Seuken, Ben Lubin, and Markus Püschel.
In Proceedings of the Thirty-first International joint Conference on Artificial Intelligence IJCAI'22,
Vienna, AUT, July 2022.
Full paper version including appendix: [pdf on arXiv] [code]
2020
Deep Learning-powered Iterative Combinatorial Auctions
Jakob Weissteiner and Sven Seuken.
In Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence AAAI'20,
New York, USA, February 2020.
Full paper version including appendix: [pdf on arXiv] [code]
*These authors contributed equally.
Preprints under Submission
2023
Machine Learning-powered Combinatorial Clock Auction
Ermis Soumalias*, Jakob Weissteiner*, Jakob Heiss, and Sven Seuken.
Full paper version including appendix: [pdf on arXiv] [code]Machine Learning-powered Course Allocation
Ermis Soumalias*, Behnoosh Zamanlooy*, Jakob Weissteiner, and Sven Seuken.
Full paper version including appendix: [pdf on arXiv]
*These authors contributed equally.