讲座题目：Optimal Transport and Applications in Machine Learning

报 告 人：查宏远教授

香港中文大学（深圳）校长学勤讲座教授

数据科学学院副院长（科研）

计算机科学学科负责人

讲座时间：2024年4月10日（星期三）上午10:00

会议地点：国际学术大讲堂

讲座摘要：

In this talk we discuss applications of optimal transport, linking Wasserstein distance to several machine learning problems. We start with push-forward and optimal transport plan, we then discuss regression problems without correspondence, stochastic dynamics from aggregate data, and numerical solution of high-dimensional Fokker-Planck equations.

个人简介：

Hongyuan Zha received B.S. in mathematics from Fudan University and PhD in scientific computing and computational mathematics from Stanford University. He's currently a professor in the School of Data Science at the Chinese University of Hong Kong, Shenzhen. Before, he held teaching positions in the Pennsylvania State University and the Georgia Institute of Technology. His research interests are machine learning and applications.

主办单位：

    吉林大学人工智能学院

    吉林大学计算机科学与技术学院

    吉林大学软件学院

    吉林大学数学学院

    吉林大学通信工程学院