3 papers
cs.GT2026
Search and Matching for Adoption from Foster Care
Ludwig Dierks, Nils Olberg, Sven Seuken +2
To find families for the more than 70,000 children in need of adoptive placements, most United States child welfare agencies have employed a family-driven search approach in which…
cs.GT2025
iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
Benjamin Lubin, Manuel Beyeler, Gianluca Brero +1
Preference elicitation is a major challenge in large combinatorial auctions because the bundle space grows exponentially in the number of items. Recent work has used machine learni…
cs.GT2025
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
We present an algorithm for computing pure-strategy epsilon-perfect Bayesian equilibria in sequential auctions with continuous action and value spaces. Importantly, our algorithm i…