The Mathematics of Machine Learning Workshop

18th - 21th June, 2024

ETH Zurich, Switzerland

The workshop will increase the visibility in the general mathematical community of “The Mathematics of Machine Learning.” Multiple prestigious researchers in the field will provide talks that describe the main mathematical tools used in machine learning. The talks will be tutorial-type and accessible to a general audience of researchers working on machine learning or other fields of mathematics.

For mathematicians interested in machine learning, the workshop can serve to obtain first-hand knowledge of machine learning from a familiar perspective and to discover the main mathematical tools used in the field. For researchers already working on machine learning, the workshop can serve to promote interactions among researchers with shared interests and to learn about the latest results on certain specific topics.

The workshop will feature a poster session, providing an opportunity for selected participants to showcase their work through poster presentations.

Invited Speakers

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Florentina Bunea
Cornell University
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Nicolo Cesa-Bianchi
University of Milan
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Rachel Cummings
Columbia University
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Arthur Gretton
Gatsby, UCL, DeepMind
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Steve Hanneke
Purdue University
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Anatoli Juditsky
Université Grenoble Alpes
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Adam Klivans
The University of Texas at Austin
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Wouter Koolen-Wijkstra
University of Twente
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Jason D. Lee
Princeton University
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Anqi (Angie) Liu
Johns Hopkins University
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Po-Ling Loh
University of Cambridge
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Massimiliano Pontil
Istituto Italiano di Tecnologia
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Lorenzo Rosasco
University of Genova
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Taiji Suzuki
The University of Tokyo
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Yixin Wang
University of Michigan

Programme

9:00 - 10:00 Invited talk 1 Author – University
10:00 - 11:00 Invited talk 2 Author – University
11:00 - 11:30 Coffee break
11:30 - 12:30 Invited talk 3 Author – University
12:30 - 13:30 Lunch time
13:30 - 14:30 Invited talk 4 Author – University
14:30 - 15:30 Invited talk 5 Author – University
9:00 - 10:00 Invited talk 6 Author – University
10:00 - 11:00 Invited talk 7 Author – University
11:00 - 11:30 Coffee break
11:30 - 12:30 Invited talk 8 Author – University
12:30 - 13:30 Lunch time
13:30 - 14:30 Invited talk 9 Author – University
14:30 - 15:30 Invited talk 10 Author – University
15:30 - 17:30 Poster session
9:00 - 10:00 Invited talk 11 Author – University
10:00 - 11:00 Invited talk 12 Author – University
11:00 - 11:30 Coffee break
11:30 - 12:30 Invited talk 13 Author – University
12:30 - 13:30 Lunch time
13:30 - 14:30 Invited talk 14 Author – University
14:30 - 15:30 Invited talk 15 Author – University
15:30 - 17:30 Speakers Event
9:00 - 10:00 Invited talk 16 Author – University
10:00 - 11:00 Invited talk 17 Author – University
11:00 - 11:30 Coffee break
11:30 - 12:30 Invited talk 18 Author – University
12:30 - 13:30 Lunch time
13:30 - 14:30 Invited talk 19 Author – University

Organizing Committee

Location

Location:


Institute of Machine Learning, ETH Zurich

Building OAT
Andreasstrasse 5, 8092 Zurich
Zurich, Switzerland

Registration

Registration for the workshop is currently closed.


Contact email: mml2024zurich@gmail.com

Sponsors