99 citations · 203 across the 27 of their papers we have counts for
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cs.GT2019★ 12 cited
Machine Learning-powered Iterative Combinatorial Auctions
Gianluca Brero, Benjamin Lubin, Sven Seuken
We present a machine learning-powered iterative combinatorial auction (MLCA). The main goal of integrating machine learning (ML) into the auction is to improve preference elicitati…
cs.CC2019★ 1 cited
Monotonic and Non-Monotonic Solution Concepts for Generalized Circuits
Steffen Schuldenzucker, Sven Seuken
Generalized circuits are an important tool in the study of the computational complexity of equilibrium approximation problems. However, in this paper, we reveal that they have a co…
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…