时 间：2021年9月23日（周四）13：00-17：00
地 点：线上，腾讯会议ID：471 408 132
题 目：Deep Nonparametric Estimation
主讲人：焦雨领 武汉大学副教授
主持人：方方教授
主 办：统计与数据科学前沿理论及应用教育部重点实验室
摘 要：
In this talk, in the first part I will present some theoretical results in deep nonparametric estimation including regression, classification and GANs. In the second part I will talk about how these results can be adopted to analyze solving PDEs with deep neural networks, generative learning and sampling from unnormalized distribution.
报告人简介：
Yuling Jiao graduated from Wuhan University with a PhD in 2014 and is currently an associate professor in the School of Mathematics and Statistics of Wuhan University. His research focus on machine learning and scientific computing. Recently, he is interest in on mathematics on data science (especially on mathematics on deep learning) including theory on deep PDEs solvers and theory and algorithms for deep generative models, theory for deep estimation, deep representation learning and designing and analyzing sampling algorithms.