Brian Hu Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Tree Decompositions

Nash Equilibria

Extensive Form Games

Regret Minimization

Top Venues

Publications

Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games. CoRR (2024)
Constantinos Daskalakis, Gabriele Farina, Noah Golowich, Tuomas Sandholm, Brian Hu Zhang
A Lower Bound on Swap Regret in Extensive-Form Games. CoRR (2024)
Brian Hu Zhang, Tuomas Sandholm
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria. CoRR (2024)
Brian Hu Zhang, Tuomas Sandholm
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria. AAAI (2024)
Brian Hu Zhang, Tuomas Sandholm
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games. CoRR (2024)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games. ICLR (2024)
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul W. Goldberg, Vincent Conitzer
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. CoRR (2024)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization. ICML (2023)
Luca Carminati, Brian Hu Zhang, Gabriele Farina, Nicola Gatti, Tuomas Sandholm
Hidden-Role Games: Equilibrium Concepts and Computation. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Steering No-Regret Learners to Optimal Equilibria. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS (2023)
Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. EC (2022)
Brian Hu Zhang, Tuomas Sandholm
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games. NeurIPS (2022)
Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm
Subgame Solving in Adversarial Team Games. NeurIPS (2022)
Brian Hu Zhang, Tuomas Sandholm
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games. CoRR (2022)
Brian Hu Zhang, Tuomas Sandholm
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. AAAI (2022)
Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. CoRR (2022)
Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally. ALT (2022)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. CoRR (2022)
Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally. CoRR (2021)
Brian Hu Zhang, Tuomas Sandholm
Subgame solving without common knowledge. NeurIPS (2021)
Brian Hu Zhang, Tuomas Sandholm
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. AAAI (2021)
Brian Hu Zhang, Tuomas Sandholm
Subgame solving without common knowledge. CoRR (2021)
Brian Hu Zhang, Tuomas Sandholm
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. CoRR (2021)
Brian Hu Zhang, Tuomas Sandholm
Small Nash Equilibrium Certificates in Very Large Games. NeurIPS (2020)
Brian Hu Zhang, Tuomas Sandholm
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. CoRR (2020)
Brian Hu Zhang, Tuomas Sandholm
Sparsified Linear Programming for Zero-Sum Equilibrium Finding. CoRR (2020)
Brian Hu Zhang, Tuomas Sandholm
Small Nash Equilibrium Certificates in Very Large Games. CoRR (2020)
Brian Hu Zhang, Tuomas Sandholm
Sparsified Linear Programming for Zero-Sum Equilibrium Finding. ICML (2020)
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell
Mitigating Unwanted Biases with Adversarial Learning. AIES (2018)
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant
A Spectral View of Adversarially Robust Features. CoRR (2018)
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell
Mitigating Unwanted Biases with Adversarial Learning. CoRR (2018)
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant
A Spectral View of Adversarially Robust Features. NeurIPS (2018)