报告题目:A Gentle Introduction to (Machine) Learning Theory

报告人：Yiming Ying

报告时间： 1:20-2:40 PM

报告地点： 理A二楼师生活动中心

报告题目： A Gentle Introduction to (Machine) Learning Theory
报告人： Yiming Ying 
报告时间地点： 2018.05.25    1:20-2:40 PM,    理A二楼师生活动中心

Abstract:  This talk is a brief introduction to learning theory.   This research area is devoted to studying the design and analysis of machine learning algorithms   It addresses the fundamental question of  how and when machine learning algorithms trained from historical data can generalize well to the future test data using mathematical tools from functional analysis, approximation theory and probability theory.  The talk will cover the basic concepts and standard techniques  in learning theory. 
 
Bio: Yiming Ying is currently a tenured Associate Professor in the Department of Mathematics and Statistics at the State University of New York (SUNY) at Albany, USA. Before that, he was a Lecturer (Assistant Professor) in Computer Science at the University of Exeter (UK).  He received the PhD degree in Mathematics in 2002 from Zhejiang University.  His research interests center on data science including learning theory and machine learning,  and their applications in big data analysis.  His research has been supported by EPSRC (UK), Simons Foundation (USA) and Department of Energy (USA).