[Sds-seminars] S&DS In-Person Seminar, Sebastian Pokutta, 4/3, ML211, 4pm-5pm, "Conditional Gradients in Machine Learning"

[elizavette.torres at yale.edu]

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

In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with
the option of virtual participation (
<https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f
8b73c34-a27b-42a7-a073-af2d00f90ffa>
https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8
b73c34-a27b-42a7-a073-af2d00f90ffa)

 <https://0.0.0.10/> 3:30pm -   Pre-talk meet and greet teatime - Dana
House, 24 Hillhouse Avenue 

 

Sebastian Pokutta, TU Berlin

Date: Monday, April 03, 2023

Time: 4:00PM to 5:00PM

Location: Mason Lab, Rm. 211
<http://maps.google.com/?q=9+Hillhouse+Avenue%2C+New+Haven%2C+CT%2C+06511%2C
+us> see map 

9 Hillhouse Avenue

New Haven, CT 06511

 <http://www.pokutta.com/> Website

 

 

Title: Conditional Gradients in Machine Learning

 

Information and Abstract: 

Conditional Gradient methods are an important class of methods to minimize
(non-)smooth convex functions over (combinatorial) polytopes. Recently these
methods received a lot of attention as they allow for structured
optimization and hence learning, incorporating the underlying polyhedral
structure into solutions. In this talk I will give a broad overview of these
methods, their applications, as well as present some recent results both in
traditional optimization and learning as well as in deep learning. 

Bio: Sebastian Pokutta is the Vice President of the Zuse Institute Berlin
(ZIB) and a Professor of Mathematics at TU Berlin with a research focus on
Artificial Intelligence and Optimization. Having received both his diploma
and Ph.D. in mathematics from the University of Duisburg-Essen in Germany,
Pokutta was a postdoctoral researcher and visiting lecturer at MIT, worked
for IBM ILOG, and Krall Demmel Baumgarten. Prior to joining ZIB and TU
Berlin, he was the David M. McKenney Family Associate Professor in the
School of Industrial and Systems Engineering and an Associate Director of
the Machine Learning @ GT Center at the Georgia Institute of Technology as
well as a Professor at the University of Erlangen-Nürnberg. Sebastian
received the David M. McKenney Family Early Career Professorship in 2016, an
NSF CAREER Award in 2015, the Coca-Cola Early Career Professorship in 2014,
the outstanding thesis award of the University of Duisburg-Essen in 2006, as
well as various Best Paper awards.

Pokutta’s research is situated at the intersection of Artificial
Intelligence and Optimization, combining Machine Learning with Discrete
Optimization techniques as well as the Theory of Extended Formulations,
exploring the limits of computation in alternative models of complexity. A
particular focus are so-called Frank-Wolfe methods and conditional gradient
methods due to their versatility in the context of constrained optimization
and structured learning. Pokutta has also worked on applications of
Optimization and Machine Learning, leveraging data in the context of
pressing industrial and financial challenges. These areas include Supply
Chain Management, Manufacturing, Cyber-Physical Systems (incl. Industrial
Internet, Industry 4.0, Internet of Things), and Finance. Examples of
Pokutta’s applied work include stowage optimization problems for inland
vessels, oil production problems, clearing of electricity markets, order
fulfillment problems, warehouse location problems, simulation of autonomous
vehicle fleets, portfolio optimization problems, optimal liquidity
management strategies, and predictive pregnancy diagnostics.

 

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
24 Hillhouse Avenue
New Haven, CT 06511

t 203.432.0666
f 203.432.0633

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.yale.edu/pipermail/sds-seminars/attachments/20230405/f6971daf/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 2925 bytes
Desc: not available
URL: <http://mailman.yale.edu/pipermail/sds-seminars/attachments/20230405/f6971daf/attachment.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 34761 bytes
Desc: not available
URL: <http://mailman.yale.edu/pipermail/sds-seminars/attachments/20230405/f6971daf/attachment-0001.jpg>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image004.jpg
Type: image/jpeg
Size: 7632 bytes
Desc: not available
URL: <http://mailman.yale.edu/pipermail/sds-seminars/attachments/20230405/f6971daf/attachment-0002.jpg>