Professor, Ensae ParisTech
3 papers at NeurIPS 2025
We compare the difficulty of learning to bid optimally in two predominant multi-unit auction formats: uniform-price and discriminatory auctions.
We quantify the worst-case price of fairness for matroid allocation problems in various settings, from adversarial, to semi random, to fully random.