Title: Two Mathematical Questions in Machine Learning Projects Speaker: Dr. Bo zhang, Director, Advanced Analytics and Data Sciences, Eli Lilly and Company Abstract: This is an informal talk. Dr. Bo Zhang will discuss some mathematical questions arising from his research … 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.
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: Binary Expansion Testing and Dependence Analysis Of Genomic Data Abstract: In The Cancer Genome Atlas (TCGA) data set, there are many interesting nonlinear dependencies between pairs of genes that reveal important relationships and subtypes of cancer. We study the nonlinear … 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.
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: Geometric Optimization: triangles, points and graphs (Part 01) Abstract: The first part of the talk will begin with a brief introduction to geometry processing, highlighting some fundamental challenges in discrete differential geometry. I will then present an approach for optimizing … 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.
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
