Theory, Methodology, and Practice in Statistical Machine Learning

EPFL-ETHZ Summer School

September 4-7 2022

Saignelegier, Canton of Jura, Switzerland

The judicious use of machine learning for predictive modeling is indispensible in both industry and research.

At MLSTATS, we seek to join experts from statistics and mathematics to shed light onto particular aspects of the theory and interpretability of deep learning.

We discuss the statistical theory and generalization behavior of modern machine learning methods, and learn tools for how to move towards trustworthy deep learning.

This summer school is a joint event with CUSO statistique and offers to connect with a pool of researchers with strongholds in different fields of math and/or statistics, and a common interest in machine learning.

Note: This is a joint event with the CUSO 2022 summer school (link)