Causal Machine Learning: Introduction

Causality has the potential to transform the way we solve a large number of real-world problems. This mathematical theory, introduced by Judea Pearl, has recently paved its way into the deep learning community. In my presentation, I will introduce and explain basic concepts from causality theory and provide examples of its recent application in deep learning in various contexts.