Prof. Kai Zhang's group and Prof. Jingfang Huang's group meets weekly to discuss projects at the interface of statistics and applied analysis. The current topics include the dependency test, finding low dimensional structures, and methods for high dimensional data analysis.
Prof. Kai Zhang's group and Prof. Jingfang Huang's group meets weekly to discuss projects at the interface of statistics and applied analysis. The current topics include the dependency test, finding low dimensional structures, and methods for high dimensional data analysis.
Prof. Kai Zhang's group and Prof. Jingfang Huang's group meets weekly to discuss projects at the interface of statistics and applied analysis. The current topics include the dependency test, finding low dimensional structures, and methods for high dimensional data analysis.
Title: Efficient learning algorithms in the Wasserstein space Abstract: Detecting differences and building classifiers between distributions, given only finite samples, are important tasks in a number of scientific fields. Optimal transport and the Wasserstein distance have evolved as the most … Read more
Prof. Kai Zhang's group and Prof. Jingfang Huang's group meets weekly to discuss projects at the interface of statistics and applied analysis. The current topics include the dependency test, finding low dimensional structures, and methods for high dimensional data analysis.
Speaker: Yifei Lou Time: Friday 04/21 3-4pm Zoom Link: https://uml.zoom.us/j/92270421345  Title: Nonlocal operators and Graph Regularizations with Applications Abstract: In this talk, I will present a methodology of exploiting similarity for image processing. Its idea is inspired by the … Read more
Prof. Kai Zhang's group and Prof. Jingfang Huang's group meets weekly to discuss projects at the interface of statistics and applied analysis. The current topics include the dependency test, finding low dimensional structures, and methods for high dimensional data analysis.