Thoma, Vinzenz

7 publications

AAAI 2025 Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification Vinzenz Thoma, Vitor Bosshard, Sven Seuken

ICLR 2025 Learning to Steer Markovian Agents Under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He

NeurIPS 2025 Scalable Neural Incentive Design with Parameterized Mean-Field Approximation Nathan Corecco, Batuhan Yardim, Vinzenz Thoma, Zebang Shen, Niao He

AAAI 2024 Automated Design of Affine Maximizer Mechanisms in Dynamic Settings Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken

ICMLW 2024 Bilevel Optimization with Lower-Level Contextual MDPs Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

NeurIPS 2024 Contextual Bilevel Reinforcement Learning for Incentive Alignment Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

ICMLW 2024 Learning to Steer Markovian Agents Under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He