Omitted Variable Bias in Causal Machine Learning

Explore the critical issue of omitted variable bias in causal machine learning through this 56-minute keynote address delivered by Victor Chernozhukov at the Uncertainty in Artificial Intelligence (UAI) 2023 conference. Delve into the complexities of causal inference and discover how overlooked variables can significantly impact the accuracy of machine learning models in causal analysis. Gain valuable insights from Chernozhukov's expertise as he presents strategies to address this challenge and improve the reliability of causal ML techniques.