Causal Inference for Individualized Treatment Effects - From Theory to Algorithms

Explore a comprehensive seminar on causal inference for individualized treatment effects, presented by Professor Mihaela van der Schaar as part of the economic data science seminar series. Delve into the theoretical foundations and algorithmic approaches of this cutting-edge topic in data science and economics. Gain insights into how causal inference techniques can be applied to determine personalized treatment effects, bridging the gap between theory and practical implementation. Learn from a distinguished expert in the field and discover the latest advancements in this crucial area of study. Connect with fellow researchers, policymakers, and academics while contributing to the growth of economic data science as a discipline.

Causal inference for individualized treatment effects: from theory to algorithms