University of Cambridge > Talks.cam > Statistics > Geometric aspects of Statistical Learning Theory

Geometric aspects of Statistical Learning Theory

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact HoD Secretary, DPMMS.

I will survey the progress made on one of the main questions in Statistical Learning Theory – the prediction problem. I will show that this problem has strong (and surprising) connections to high dimensional geometry and explain why the methods that have been developed for its solution are of independent interest in other areas of mathematics.

This talk is part of the Statistics series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity