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Brian Hu Zhang
Brian Hu Zhang
Computer Science Department, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Mitigating unwanted biases with adversarial learning
BH Zhang, B Lemoine, M Mitchell
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 335-340, 2018
14722018
A spectral view of adversarially robust features
S Garg, V Sharan, B Zhang, G Valiant
Advances in Neural Information Processing Systems, 10138-10148, 2018
322018
Advantages of unfair quantum ground-state sampling
BH Zhang, G Wagenbreth, V Martin-Mayor, I Hen
Scientific reports 7 (1), 1-12, 2017
292017
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
BH Zhang, G Farina, A Celli, T Sandholm
Proceedings of the 23rd ACM Conference on Economics and Computation, 1119-1120, 2022
202022
Team correlated equilibria in zero-sum extensive-form games via tree decompositions
BH Zhang, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5252-5259, 2022
182022
Finding and Certifying (Near-) Optimal Strategies in Black-Box Extensive-Form Games
BH Zhang, T Sandholm
AAAI Conference on Artificial Intelligence, 2021
172021
Subgame solving without common knowledge
B Zhang, T Sandholm
Advances in Neural Information Processing Systems 34, 23993-24004, 2021
152021
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games
B Zhang, T Sandholm
Advances in Neural Information Processing Systems 35, 24851-24863, 2022
112022
Computing optimal equilibria and mechanisms via learning in zero-sum extensive-form games
B Zhang, G Farina, I Anagnostides, F Cacciamani, S McAleer, A Haupt, ...
Advances in Neural Information Processing Systems 36, 2024
102024
Steering No-Regret Learners to a Desired Equilibrium
BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ...
arXiv preprint arXiv:2306.05221, 2023
10*2023
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
BH Zhang, G Farina, T Sandholm
ICML 2023, 2023
10*2023
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally
PK Kothari, P Manohar, BH Zhang
International Conference on Algorithmic Learning Theory, 638-667, 2022
102022
Sparsified linear programming for zero-sum equilibrium finding
B Zhang, T Sandholm
International Conference on Machine Learning, 11256-11267, 2020
92020
Small Nash Equilibrium Certificates in Very Large Games
B Zhang, T Sandholm
Advances in Neural Information Processing Systems 33, 2020
62020
Subgame Solving in Adversarial Team Games
BH Zhang, L Carminati, F Cacciamani, G Farina, P Olivieri, N Gatti, ...
Advances in Neural Information Processing Systems, 2022
52022
Hidden-Role Games: Equilibrium Concepts and Computation
L Carminati, BH Zhang, G Farina, N Gatti, T Sandholm
arXiv preprint arXiv:2308.16017, 2023
32023
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
BH Zhang, G Farina, T Sandholm
The Twelfth International Conference on Learning Representations, 2023
2*2023
A Lower Bound on Swap Regret in Extensive-Form Games
C Daskalakis, G Farina, N Golowich, T Sandholm, BH Zhang
arXiv preprint arXiv:2406.13116, 2024
12024
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
BH Zhang, T Sandholm
arXiv preprint arXiv:2405.06797, 2024
12024
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
BH Zhang, T Sandholm
AAAI Conference on Artificial Intelligence, 2024
12024
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Articles 1–20