Brian Hu Zhang

According to our database1, Brian Hu Zhang authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Lower Bound on Swap Regret in Extensive-Form Games.
CoRR, 2024

Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games.
CoRR, 2024

Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Imperfect-Recall Games: Equilibrium Concepts and Their Complexity.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria.
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.
CoRR, 2023

Hidden-Role Games: Equilibrium Concepts and Computation.
CoRR, 2023

Steering No-Regret Learners to Optimal Equilibria.
CoRR, 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making.
CoRR, 2022

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation.
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.
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.
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.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Subgame solving without common knowledge.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Small Nash Equilibrium Certificates in Very Large Games.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
A Spectral View of Adversarially Robust Features.
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.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018


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