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加利福尼亚大学戴维斯分校马士谦教授应邀做学术报告
时间: 2021-07-09 来源: 理学院 作者: 点击: 10

应南京理工大学理学院数学系严涛老师邀请, 加利福尼亚大学戴维斯分校马士谦教授于20217813:00-15:00 通过腾讯会议(ID739367491)为我院师生做了题为“Riemannian Optimization for Projection Robust Wasserstein  Distance的学术报告。理学院数学系多名研究生参加了此次报告会。

报告中,马士谦教授首先回顾Wasserstein距离的相关研究难点及目前的一些进展,然后介绍了他们课题组求解原问题的最新工作,给出了基于黎曼流形上的块坐标下降算法和收敛性分析。在报告提问时间,马士谦教授对参会研究生们提出的问题逐一给出了分析和解答。

报告人简介:Shiqian Ma is currently a tenured associate professor in the Department of Mathematics at University of California, Davis. His current research interests include theory and algorithms for large-scale optimization, and their various applications in machine learning, signal processing, statistics and bioinformatics. Shiqian received the INFORMS Optimization Society Best Student Paper Prize in 2010, and an honorable mention in the INFORMS George Nicholson Student Paper Competition in 2011. He was one of the finalists for the 2011 IBM Herman Goldstine fellowship. He received the Journal of the Operations Research Society of China Excellent Paper Award in 2016. Shiqian currently serves on the editorial board of Journal of Scientific Computing.


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