Causal Representation Learning and Optimal Intervention Design

Explore cutting-edge concepts in causal inference and machine learning through this keynote talk delivered by Caroline Uhler at the Uncertainty in Artificial Intelligence (UAI) 2023 conference. Delve into the fascinating intersection of causal representation learning and optimal intervention design as Uhler presents groundbreaking research and insights. Over the course of 68 minutes, gain a deeper understanding of how these advanced techniques can be applied to improve decision-making processes and uncover causal relationships in complex systems. Chaired by Daniel Malinsky, this thought-provoking session offers valuable knowledge for researchers, data scientists, and AI enthusiasts interested in the latest developments in causal inference and its practical applications.