“中国人民大学国际统计论坛”创办于2004年，致力于搭建统计学界高层次的学术交流平台，已成为中国最有影响力的统计学论坛之一。

2023年7月14日至15日，本届论坛将邀请5位主题报告人和6位特邀报告人，本次介绍特邀报告人袁明，预祝第九届中国人民大学国际统计论坛取得圆满成功！

袁明

Title:

Spectral Learning for High Dimensional Tensors

Abstract:

Matrix perturbation bounds developed by Weyl, Davis, Kahan and Wedin and others play a central role in many statistical and machine learning problems. I shall discuss some of the recent progresses in developing similar bounds for higher order tensors. I will highlight the intriguing differences from matrices, and explore their implications in spectral learning problems.

Biography：

Ming Yuan is a full Professor of Department of Statistics and Associate Director of Data Science Institute at Columbia University. He obtained Ph.D. in Statistics at University of Wisconsin-Madison in 2004.

诚挚邀请海内外学人关注和参与本次论坛！