Marharyta Aleksandrova: Causal Inference & Causal Learning: Towards Causal ML (Part 3 of 3)

Marharyta Aleksandrova: Causal Inference & Causal Learning: Towards Causal ML (Part 3 of 3)

Machine Learning Seminar presentation

Topic: Causal Inference & Causal Learning: Towards Causal ML (Part 3 of 3)

Speaker: Marharyta Aleksandrova, Faculty of Science, Technology and Medicine; University of Luxembourg

Time: Wednesday, 2021.11.24, 10:00 CET

How to join: Please contact Jakub Lengiewicz

Abstract:

In this seminar, we will discuss the basics of the Causality theory: Causal Inference (how to measure the strength of a causal effect) and Causal Learning (how to learn causal structure, that is how to identify which variable is the cause and which is the effect). We will talk of what analysts should consider if they want to make causal conclusions from their data analysis. The lectures will be accompanied with a series of practical demonstrations.

Additional material:

Presentation and collab: https://drive.google.com/file/d/1xGsyCEwaCGsTiiqXfgohi1FEy66zOc0n/view?usp=sharing

Further reading: https://docs.google.com/document/d/15_YfYsQrRQHaJ62FLIeuG91aSI6-lqiXz8Rqvbl9UmA/edit

Video recording: https://youtu.be/7T9JO6Qvyuc