Publications

Preprint

J. Yu, J-G. Liu, & H. Zhao (2024). Equilibrium correction iteration for a class of mean-field game inverse problems. arXiv: 2506.23018 [paper]
J. Yu, X. Cheng, J-G. Liu, & H. Zhao (2024). Convergence analysis and acceleration of fictitious play for general MFGs via the best response. arXiv: 2411.07989 [paper]
Y. Liu, W. Peng, T. Wang., & J. Yu (2024). Zeroth-order stochastic cubic Newton method with low-rank Hessian estimation. arXiv: 2410.22357 [paper]
T. Wang, Z. Wang, & J. Yu (2024). Zeroth-order low-rank Hessian estimation via matrix recovery. arXiv: 2402.05385 [paper]

J. Yu, Q. Xiao, T. Chen, & R. Lai (2024). A bilevel optimization method for inverse mean-field games. Inverse Problems, 40 (2024) 105016 [paper] [code]
J. Yu, R. Lai, W. Li, & S. Osher (2024). A fast proximal gradient method and convergence analysis for dynamic mean field planning. Mathematics of Computation, 93 (2024), 603-642 [paper] [code]
H. Huang, J. Yu, J. Chen, & R. Lai (2023). Bridging mean-field games and normalizing flows with trajectory regularization. Journal of Computational Physics, 487, 112155. [paper] [code]
J. Yu, R. Lai, W. Li, & S. Osher (2023). Computational mean-field games on manifolds. Journal of Computational Physics, 484, 112070. [paper] [code]