activity
20192023
most citedDeep Learning-powered Iterative Combinatorial Auctions

13 citations · 44 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2023★ 4 cited

Machine Learning-Powered Combinatorial Clock Auction

Ermis Soumalias, Jakob Weissteiner, Jakob Heiss +1

We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address th…

cs.GT2022★ 3 cited

Machine Learning-Powered Course Allocation

Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner +1

We study the course allocation problem, where universities assign course schedules to students. The current state-of-the-art mechanism, Course Match, has one major shortcoming: stu…

cs.LG2022★ 2 cited

Bayesian Optimization-based Combinatorial Assignment

Jakob Weissteiner, Jakob Heiss, Julien Siems +1

We study the combinatorial assignment domain, which includes combinatorial auctions and course allocation. The main challenge in this domain is that the bundle space grows exponent…

cs.GT2021★ 7 cited

Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

Jakob Weissteiner, Jakob Heiss, Julien Siems +1

Many important resource allocation problems involve the combinatorial assignment of items, e.g., auctions or course allocation. Because the bundle space grows exponentially in the…

cs.LG2021★ 5 cited

NOMU: Neural Optimization-based Model Uncertainty

Jakob Heiss, Jakob Weissteiner, Hanna Wutte +2

We study methods for estimating model uncertainty for neural networks (NNs) in regression. To isolate the effect of model uncertainty, we focus on a noiseless setting with scarce t…

cs.GT2020★ 10 cited

Fourier Analysis-based Iterative Combinatorial Auctions

Jakob Weissteiner, Chris Wendler, Sven Seuken +2

Recent advances in Fourier analysis have brought new tools to efficiently represent and learn set functions. In this paper, we bring the power of Fourier analysis to the design of…

cs.GT2019★ 13 cited

Deep Learning-powered Iterative Combinatorial Auctions

Jakob Weissteiner, Sven Seuken

In this paper, we study the design of deep learning-powered iterative combinatorial auctions (ICAs). We build on prior work where preference elicitation was done via kernelized sup…