Adjustment Identification Distance: A Gadjid for Causal Structure Learning

This lecture by Leonard Henckel from University College Dublin explores the concept of Adjustment Identification Distance and its application as a "gadjid" for Causal Structure Learning. Discover how this mathematical approach enhances our understanding of causal relationships and structural learning methodologies. The 43-minute presentation, hosted by the Institut des Hautes Etudes Scientifiques (IHES), delves into advanced mathematical concepts that bridge theoretical frameworks with practical applications in causal inference. Access this and many other scientific videos on CARMIN.tv, a French video platform specifically designed for mathematics and interdisciplinary research with specialized functionalities for the research community.