99 citations · 203 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
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…
Non-decreasing Payment Rules for Combinatorial Auctions
Vitor Bosshard, Ye Wang, Sven Seuken
Combinatorial auctions are used to allocate resources in domains where bidders have complex preferences over bundles of goods. However, the behavior of bidders under different paym…
Enabling Trade-offs in Machine Learning-based Matching for Refugee Resettlement
Nils Olberg, Sven Seuken
The Swiss State Secretariat for Migration recently announced a pilot project for a machine learning-based assignment process for refugee resettlement. This approach has the potenti…