Causal Inference & Causal Learning: Towards Causal ML (Part 1 of 3)
Speaker: Marharyta Aleksandrova (Faculty of Science, Technology and Medicine; University of Luxembourg)
Title: Causal Inference & Causal Learning: Towards Causal ML (Part 1 of 3)
Time: Wednesday, 2021.11.03, 10:00 a.m. (CET)
Place: fully virtual (contact Jakub Lengiewicz to register)
Format: 45 min. lecture + 15 min. discussion
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.