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Abstract Despite the recent success and widespread applications of In this Data Makers Fest talk, Philipp Bach introduces the fundamental differences between Judea Pearl, UCLA Symposium on Visions of the Theory of Computing, May 31, 2013, hosted by the Simons Institute for the ... The development of graphical models and the logic of counterfactuals have had a marked effect on the way scientists treat ... Most ML models excel at prediction, answering questions like "Who will buy our product?" or "Which customers are likely to churn ...
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Introduction to Causal Machine Learning by Philipp Bach
Kun Zhang, CMU: Causality, Independence, and Adaptive Prediction
2015 Methods Lecture, Susan Athey, "Machine Learning and Causal Inference"
Causal Inference with Machine Learning - EXPLAINED!
Stefan Wager : Machine Learning in Causal Inference
Toward Causal Machine Learning - Prof. Bernhard Schölkopf
The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science
Keynote: The Mathematics of Causal Inference: with Reflections on Machine Learning
Avik Basu - Beyond Just Prediction: Causal Thinking in Machine Learning | PyData Seattle 2025
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Last Updated: June 10, 2026
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