Distinguished Theme Seminar Series 2021: Causal Inference

Statistical Learning: Causal-oriented and Robust

Speaker

Peter Bühlmann, Department of Mathematics, ETH Zürich

Abstract

Reliable, robust and interpretable machine learning is a big emerging theme in data science and artificial intelligence, complementing the development of pure black box prediction algorithms. Looking through the lens of statistical causality and exploiting a probabilistic invariance property opens up new paths and opportunities for enhanced robustness and external validity, with wide-ranging prospects for various applications.

About the Speaker

Short biographical statement coming soon!

Connection Information

Please see the Webinar Series website for registration and connection information.