The Mathematics of Machine Learning Workshop 2022 will take place at the Basque Center for Applied Mathematics - Bilbao, from 25th to 28th of October, 2022.
Early registration until 15 September
Late registration from 16 September to 15 October
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.
LIST OF SPEAKERS
· Carlos Amendola - Berlin Institute of Technology (TU Berlin)
· Guilles Blanchard - University Paris-Saclay
· Sanjoy Dasgupta - University of California San Diego (UCSD)
· Eustasio del Barrio - University of Valladolid (UVa)
· Joav Freund - University of California San Diego (UCSD)
· Peter Grünwald - Centrum Wiskunde & Informatica (CWI)
· Niao He - Swiss Federal Institute of Technology in Zürich (ETH Zurich)
· Christoph Lampert - Institute of Science and Technology Austria (ISTA)
· Julien Mairal - French Institute for Research in Computer Science and Automation (INRIA)
· Andres Masegosa - Aalborg University (AAU)
· Santiago Mazuelas - Basque Center for Applied Mathematics (BCAM)
· Peyman Mohajerin Esfahani - Delft University of Technology (TU Delft)
· Krikamol Muandet - Institute for Intelligent Systems (Max Planck)
· Gergely Neu - Pompeu Fabra University (UPF)
· Massimiliano Pontil - University College London (UCL)
· Clayton Scott - University of Michigan
· Eli Upfal - Brown University
· Fanny Yang - Swiss Federal Institute of Technology in Zürich (ETH Zurich)