Bernoulli Lecture - Low Rank Tensor Methods in High Dimensional Data Analysis   31 March 2020

Part of the Semester : Functional Data Analysis

17:15 - 18:15
Room : Auditoire CE2

Lecturer

Ming Yuan, Columbia University

Large amount of multidimensional data in the form of multilinear arrays, or tensors, arise routinely in modern applications from such diverse fields as chemometrics, genomics, physics, psychology, and signal processing among many others. At the moment, our ability to generate and acquire them has far outpaced our ability to effectively extract useful information from them. There is a clear demand to develop novel statistical methods, efficient computational algorithms, and fundamental mathematical theory to analyze and exploit information in these types of data. In this talk, I will review some of the recent progresses and discuss some of the present challenges.

Name University Dates of visit
Ming Yuan Columbia University 31/03/2020 - 31/03/2020
Total Guests : 1
Name University Dates of visit
Total Guests : 0
Conference in Honor of the 70th Birthday of Tudor Ratiu, 20 to 24 July 2020.
Registration fees of CHF 50.- are mandatory for visits from 1 day to full attendance of the conference.
Cancellations and no-shows are not eligible for a refund.
I hereby agree to the conditions of the registration fees and to settling the amount by 28 February 2020.

Last Name
First Name
Address
Zip Code
City
Country
Email
Participation
CHF