Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model
The authors aim to design strategyproof mechanisms leveraging predictions for improved approximation guarantees in the Generalized Assignment Problem (GAP) within the private graph model.
Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model
Optimale Approximationsgarantien in Mechanismen mit Vorhersagen sind herausfordernd.
Bicriteria Multidimensional Mechanism Design with Side Information: Leveraging Predictions for Improved Welfare and Revenue in Auctions and Markets
Side information, such as machine learning predictions, can be effectively integrated into multidimensional mechanism design to simultaneously achieve high welfare and revenue, mitigating the traditional trade-off between these objectives.
Strategic Facility Location Using Predictions in General Metric Spaces
This research paper introduces the Harmonic mechanism, a novel approach for strategic facility location in general metric spaces that leverages predictions to improve upon traditional mechanisms, particularly when dealing with a large number of agents.
