Mathematics of Machine Learning Workshop will take place in Bilbao

    • The event will be held at Basque Center for Applied Mathematics from 25 to 28 October 2022

 

Basque Center for Applied Mathematics – BCAM organizes The Mathematics of Machine Learning workshop that will take place in the center between 25 and 28 October 2022. The event has the aim to increase the visibility in the general mathematical community of the mathematics of machine learning.

The workshop focuses on two target audiences. On the one hand, mathematicians interested in machine learning would obtain first-hand knowledge of machine learning from a familiar perspective and discover the main mathematical tools used in the field. On the other hand, for those researchers already working on machine learning, it would be an opportunity to promote interactions and learn about the latest results on certain specific topics.
 
The event will be composed by tutorial-type talks that will be accessible to researchers working on the subject, and also to those working in other fields of mathematics. The list of confirmed speakers is formed by around 20 researchers on machine learning and includes multiple internationally distinguished experts in the field (see the preliminar programme at this link). Among other renowned researchers, the workshop is honored to count with the participation of Prof. Yoav Freund and Prof. Peter Grünwald.
 
About Professors Yoav Freund and Peter Grünwald
 
Yoav Freund is a Professor of Computer Science and Engineering at UC San Diego. His work in the area of machine learning, computational statistics, and their applications has had a profound impact in the field. Prof. Freund  is best known for his pioneering joint work with Dr. Robert Schapire that lead to tAhe famous Adaboost learning algorithm. For this work they were awarded the 2003 Gödel prize in Theoretical Computer Science, as well as the Kanellakis Prize in 2004.
 
 
 
 
 
 
 

Peter Grünwald is a Professor of Statistical Learning at the mathematical institute of Leiden University. During the last four years he has been the President of the Association for Computational Learning that organizes COLT, the world’s prime annual conference on machine learning theory. He is the author of the book The Minimum Description Length Principle, (MIT Press, 2007), which has become the standard reference for such approach to learning. In 2010 he was co-awarded the Van Dantzig prize, the highest Dutch award in statistics and operations research.

 

 

 

 

We would like to encourage all the researchers interested in attending the workshop to register. For more information on the workshop and registration process, please visit the workshop website.