Distinguished Theme Seminar Series 2021: Causal Inference

September 24, 2021  10:30 – 11:30 am ET

Statistical Learning: Causal-oriented and Robust


Peter Bühlmann, Department of Mathematics, ETH Zürich


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.

Event Type


Purdue University


National Institute of Statistical Sciences


Online Webinar
Speaker: Peter Bühlmann, Department of Mathematics, ETH Zürich