Search Results for author: Jakob Weissteiner

Found 4 papers, 3 papers with code

Machine Learning-Powered Combinatorial Clock Auction

1 code implementation20 Aug 2023 Ermis Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken

In this paper, we address this shortcoming by designing an ML-powered combinatorial clock auction that elicits information from the bidders only via demand queries (i. e., ``At prices $p$, what is your most preferred bundle of items?'').

Machine Learning-Powered Course Allocation

no code implementations3 Oct 2022 Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner, Sven Seuken

We study the course allocation problem, where universities assign course schedules to students.

Fairness

Bayesian Optimization-based Combinatorial Assignment

1 code implementation31 Aug 2022 Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

In this paper, we address this shortcoming by presenting a Bayesian optimization-based combinatorial assignment (BOCA) mechanism.

Bayesian Optimization

NOMU: Neural Optimization-based Model Uncertainty

1 code implementation26 Feb 2021 Jakob Heiss, Jakob Weissteiner, Hanna Wutte, Sven Seuken, Josef Teichmann

To isolate the effect of model uncertainty, we focus on a noiseless setting with scarce training data.

Bayesian Optimization regression

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