Brian Hu Zhang

CoRR, 2024

Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games.

[BibT_eX]

[DOI]

CoRR, 2024

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria.

[BibT_eX]

[DOI]

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

2023

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games.

[BibT_eX]

[DOI]

CoRR, 2023

Hidden-Role Games: Equilibrium Concepts and Computation.

[BibT_eX]

[DOI]

CoRR, 2023

Steering No-Regret Learners to Optimal Equilibria.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Andreas Alexander Haupt

CoRR, 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making.

[BibT_eX]

[DOI]

CoRR, 2022

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation.

[BibT_eX]

[DOI]

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subgame Solving in Adversarial Team Games.

[BibT_eX]

[DOI]

Pierriccardo Olivieri

Nicola Gatti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally.

[BibT_eX]

[DOI]

Pravesh K. Kothari

Peter Manohar

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Subgame solving without common knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Small Nash Equilibrium Certificates in Very Large Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparsified Linear Programming for Zero-Sum Equilibrium Finding.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

A Spectral View of Adversarially Robust Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mitigating Unwanted Biases with Adversarial Learning.

[BibT_eX]

[DOI]