Yang, Xianjin
- Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes
2023/12/08 by Jinyan Guo, Chenchen Mou, Guo, Jinyan +5 · 3 citations
Computer Science · Economics, Econometrics and Finance · Decision Sciences · #Gaussian Processes and Bayesian Inference #Sports Analytics and Performance #Innovation Diffusion and Forecasting
- Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots
2023/11/28 by Théo Bourdais, Pau Batlle, Bourdais, Théo +9 · 2 citations
Computer Science · #15A83 #46E22 #62A09 #62D20 #62H22 #62J02 #65S05 #68R10 #90C35 #94C15 #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Numerical Analysis (math.NA) #Social and Information Networks (cs.SI)
- Forward-backward algorithm for functions with locally Lipschitz gradient: applications to mean field games
2023/06/28 by Briceno-Arias, Luis M., Silva, Francisco José, Yang, Xianjin · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC)
- Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems
2025/02/17 by Jingguo Zhang, Xianjin Yang, Zhang, Jingguo +5 · 2 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Scientific Measurement and Uncertainty Evaluation #Advanced Statistical Process Monitoring
- Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks
2025/01/28 by Baptista, Ricardo, Calvello, Edoardo, Darcy, Matthieu +3 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)