| 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 | 1528 | 2018 |
| A spectral view of adversarially robust features S Garg, V Sharan, B Zhang, G Valiant Advances in Neural Information Processing Systems, 10138-10148, 2018 | 32 | 2018 |
| Advantages of unfair quantum ground-state sampling BH Zhang, G Wagenbreth, V Martin-Mayor, I Hen Scientific reports 7 (1), 1-12, 2017 | 29 | 2017 |
| 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 | 22 | 2022 |
| 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 | 22 | 2022 |
| Finding and Certifying (Near-) Optimal Strategies in Black-Box Extensive-Form Games BH Zhang, T Sandholm AAAI Conference on Artificial Intelligence, 2021 | 18 | 2021 |
| Subgame solving without common knowledge B Zhang, T Sandholm Advances in Neural Information Processing Systems 34, 23993-24004, 2021 | 16 | 2021 |
| Steering No-Regret Learners to a Desired Equilibrium BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ... arXiv preprint arXiv:2306.05221, 2023 | 13* | 2023 |
| 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 | 12 | 2022 |
| 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 | 11 | 2024 |
| 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 | 11* | 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 | 11 | 2022 |
| Sparsified linear programming for zero-sum equilibrium finding B Zhang, T Sandholm International Conference on Machine Learning, 11256-11267, 2020 | 10 | 2020 |
| 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 | 7 | 2022 |
| Small Nash Equilibrium Certificates in Very Large Games B Zhang, T Sandholm Advances in Neural Information Processing Systems 33, 2020 | 7 | 2020 |
| Hidden-Role Games: Equilibrium Concepts and Computation L Carminati, BH Zhang, G Farina, N Gatti, T Sandholm arXiv preprint arXiv:2308.16017, 2023 | 4 | 2023 |
| 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 | 3* | 2023 |
| Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games BH Zhang, T Sandholm arXiv preprint arXiv:2405.06797, 2024 | 2 | 2024 |
| On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria BH Zhang, T Sandholm AAAI Conference on Artificial Intelligence, 2024 | 2 | 2024 |
| 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 | 1 | 2024 |
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
