Chao Zhou

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers. Oper. Res. Shuaijie Qian, Xizhi Su, Chao Zhou
2025	J	`jnl`	Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems. CoRR Jingguo Zhang, Xianjin Yang, Chenchen Mou, Chao Zhou
2024	J	`jnl`	Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size. CoRR Huafu Liao, Alpár Richárd Mészáros, Chenchen Mou, Chao Zhou
2024	J	`jnl`	Decoding mean field games from population and environment observations by Gaussian processes. J. Comput. Phys. Jinyan Guo, Chenchen Mou, Xianjin Yang, Chao Zhou
2024	J	`jnl`	Large Ranking Games with Diffusion Control. Math. Oper. Res. Stefan Ankirchner, Nabil Kazi-Tani, Julian Wendt, Chao Zhou
2024	—	`conf`	Market-Making and Hedging with Market Impact using Deep Reinforcement Learning. ICAIF Jiayu Shi, Siu Hin Tang, Chao Zhou
2023	J	`jnl`	Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes. CoRR Jinyan Guo, Chenchen Mou, Xianjin Yang, Chao Zhou
2023	J	`jnl`	Power Forward Performance in Semimartingale Markets with Stochastic Integrated Factors. Math. Oper. Res. Lijun Bo, Agostino Capponi, Chao Zhou
2022	J	`jnl`	Numerical methods for mean field games based on Gaussian processes and Fourier features. J. Comput. Phys. Chenchen Mou, Xianjin Yang, Chao Zhou
2022	J	`jnl`	The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. SIAM J. Numer. Anal. Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
2021	J	`jnl`	Numerical methods for Mean field Games based on Gaussian Processes and Fourier Features. CoRR Chenchen Mou, Xianjin Yang, Chao Zhou
2021	J	`jnl`	SelectNet: Self-paced learning for high-dimensional partial differential equations. J. Comput. Phys. Yiqi Gu, Haizhao Yang, Chao Zhou
2021	J	`jnl`	The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. CoRR Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
2020	J	`jnl`	Bank Monitoring Incentives Under Moral Hazard and Adverse Selection. J. Optim. Theory Appl. Nicolás Hernández-Santibánez, Dylan Possamaï, Chao Zhou
2020	J	`jnl`	SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations. CoRR Yiqi Gu, Haizhao Yang, Chao Zhou