Machine Learning Summer School 2019

Justin Solomon

Michael Bronstein

Alexey Artemov

Information

Versions (taught during): 2019 (Summer 2019)

Venue: Skoltech, Moscow, Russia

Taught for: Doctoral Students in Machine Learning

Abstract

Machine Learning Summer School (MLSS) is a course about modern methods of statistical machine learning and inference. It presents topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice.

Specific days where I participated were:

DAY-2 (27.08): Alexey Artemov, Justin Solomon - Geometric Techniques in ML
DAY-8 (04.09): Alexey Artemov, Michael Bronstein - Graph Neural Networks

Course Links

Slides and handouts 2019: https://github.com/mlss-skoltech
Official course page 2019: https://smiles.skoltech.ru/mlss2019