Statistical analysis of machine learning methods

Online seminar: Johannes Schmidt-Hieber (University of Twente)
Start date

Thursday, 29 Oct 2020, 16:00

End date

Thursday, 29 Oct 2020, 17:00

Room
Online seminar
Spoken Language
English

Recently a lot of progress has been made regarding the theoretical understanding of machine learning methods.

One of the very promising directions is the statistical approach, which interprets machine learning as a collection of statistical methods and builds on existing techniques in mathematical statistics to derive theoretical error bounds and to understand phenomena such as overparametrization. The talk surveys this field and describes future challenges.

Organisors

dr. (Maria) M Grith
dr. (Mikhail) M Zhelonkin
More information

Secretariat Econometrics
Phone: +31 (0)10 408 12 59/ 12 64
Email: eb-secr@ese.eur.nl