Vinzenz Thoma

Orcid: 0009-0008-9603-3152

According to our database¹, Vinzenz Thoma authored at least 9 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Deep Incentive Design with Differentiable Equilibrium Blocks.

[BibT_eX]

[DOI]

Vinzenz Thoma

Georgios Piliouras

Luke Marris

CoRR, March, 2026

2025

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning to Steer Markovian Agents under Model Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification.

[BibT_eX]

[DOI]

Vinzenz Thoma

Vitor Bosshard

Sven Seuken

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Contextual Bilevel Reinforcement Learning for Incentive Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Computing Perfect Bayesian Equilibria in Sequential Auctions.

[BibT_eX]

[DOI]

Vinzenz Thoma

Vitor Bosshard

Sven Seuken

CoRR, 2023

Vinzenz Thoma

Timeline

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Links

On csauthors.net:

Bibliography

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