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ASSET Seminar: ML for Causal Inference, Konrad Kording, University of Pennsylvania
December 14, 2022 at 12:00 PM - 1:30 PM
Machine learning traditionally does not get at causality and causality research traditionally treats machine learning as a dangerous set of highly biased estimators. In my talk I will talk about our lab’s efforts to use machine learning as a component of more traditional quasi-experimental techniques. I will also discuss meta-learning approaches to causal inference, approaches where the estimators themselves are learned. I will lament the relative lack of interactions between the various subfields of the causal inference space.
Konrad Paul Körding (born 1973) is a German neuroscience professor at the University of Pennsylvania and co-founder of Neuromatch. He is known for his contributions to the fields of motor control, neural data methods, and computational neuroscience, as well as his advocacy and contribution to open science and scientific rigor.