[Sds-seminars] FW: S&DS Seminar, Mikhail Belkin, 01/22/24, 4pm-5pm, KT, "Toward a practical theory of deep learning"

[elizavette.torres at yale.edu]

 <https://statistics.yale.edu/>     <https://statistics.yale.edu/>
Department of Statistics and Data Science  


Mikhail Belkin, University of California San Diego




Date: Monday, January 22, 2024

Time: 4:00PM to 5:00PM

Location: Kline Tower
<http://maps.google.com/?q=219+Prospect+Street%2C+13+Floor%2C+Rm+1327%2C+New
+Haven%2C+CT%2C+06511%2C+us> see map 

219 Prospect Street, 13 Floor, Rm 1327

New Haven, CT 06511

Zoom Link: https://yale.zoom.us/j/94223816617 Meeting ID: 942 2381 6617

 <http://misha.belkin-wang.org/> Website

 

 

 

Title: Toward a practical theory of deep learning

 

Information and Abstract: 

Remarkable recent advances in deep neural networks are rapidly changing
science and society.
Never before had a technology been deployed so widely and so quickly with so
little understanding of its fundamentals.  I will argue that developing a
fundamental mathematical theory of deep learning is necessary for a
successful AI transition and, furthermore, that such a theory may well be
within reach.    I will discuss what  a theory might look like and some of
its ingredients that we already have available.

In particular, I will discuss how deep neural neural networks of various
architectures learn features and how the lessons of deep learning can be
incorporated in non-backpropagation-based algorithms that we call Recursive
Feature Machines. I will provide a number of experimental results on
different types of data, including texts and images, as well as some
connections to classical statistical methods, such as Iteratively Reweighted
Least Squares. 
 

3:30pm - Pre-talk meet and greet teatime - Kline Tower, 219 Prospect Street,
13 floor, there will be light snacks and beverages in the kitchen area.

 

For more details and upcoming events visit our website at
<http://statistics.yale.edu/> http://statistics.yale.edu/

 

Department of Statistics and Data Science

Yale University
Kline Tower

219 Prospect Street

t 203.432.0666
f 203.432.0633

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