Chao Zhou

According to our database, Chao Zhou authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems.

Jingguo Zhang, Xianjin Yang, Chenchen Mou, Chao Zhou

CoRR, February, 2025

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers.

Shuaijie Qian, Xizhi Su, Chao Zhou

Oper. Res., 2025

2024

Large Ranking Games with Diffusion Control.

Stefan Ankirchner, Nabil Kazi-Tani, Julian Wendt, Chao Zhou

Math. Oper. Res., 2024

Decoding mean field games from population and environment observations by Gaussian processes.

Jinyan Guo, Chenchen Mou, Xianjin Yang, Chao Zhou

J. Comput. Phys., 2024

Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size.

Huafu Liao, Alpár Richárd Mészáros, Chenchen Mou, Chao Zhou

CoRR, 2024

Market-Making and Hedging with Market Impact using Deep Reinforcement Learning.

Jiayu Shi, Siu Hin Tang, Chao Zhou

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Power Forward Performance in Semimartingale Markets with Stochastic Integrated Factors.

Lijun Bo, Agostino Capponi, Chao Zhou

Math. Oper. Res., February, 2023

2022

The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation.

Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou

SIAM J. Numer. Anal., August, 2022

Numerical methods for mean field games based on Gaussian processes and Fourier features.

Chenchen Mou, Xianjin Yang, Chao Zhou

J. Comput. Phys., 2022

2021

SelectNet: Self-paced learning for high-dimensional partial differential equations.

Yiqi Gu, Haizhao Yang, Chao Zhou

J. Comput. Phys., 2021

2020

Bank Monitoring Incentives Under Moral Hazard and Adverse Selection.

Nicolás Hernández-Santibánez, Dylan Possamaï, Chao Zhou

J. Optim. Theory Appl., 2020