报告人：焦雨领（武汉大学）

报告题目：DRM Revisited: A Complete Error Analysis

报告摘要：In this talk, we provide an answer to the question in deep Ritz Method (DRM) analysis: "Given a desired precision, how can we determine the number of training samples, the parameters of neural networks, the step size of gradient descent, and the number of iterations such that the output deep networks of the gradient descent closely approximates the true solution of the PDEs with the specified precision?

报告时间：2024年10月27日（星期日）17:00-18:30

报告地点：东三十二楼102室

邀请人：刘海霞

报告人简介：焦雨领，武汉大学数学与统计学院教授、博导。主要从事机器学习、科学计算的研究。入选国家高层次青年人才计划。相关工作发表在包括 SIAM J. Math. Anal.、SIAM J.Control Optim.、 SIAM J. Numer. Anal.、SIAM J. Sci. Comput.、SIAM J. Math. Data. Sci.、Appl. Comput. Harmon. Anal.、J. Mach. Learn. Res.、IEEE Trans.Inf.Theory、Ann. Stat.、J. Amer. Statist. Assoc.、Statist. Sci.、Inverse Probl.、IEEE Trans. Signal Process.、ICML、NeurIPS 等期刊和会议上。