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Towards Causal Representation Learning
Description: A comprehensive graph mapping of knowledge areas and research papers related to the new publication “Towards Causal Representation Learning” authored by Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio from Max-Planck Institute for Intelligent Systems, ETH Zurich, Google Research Amsterdam, Mila and the University of Montreal.
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B. Scholkopf, Causality for Machine Learning. 2019

Niki Kilbertus, Generalization in anti-causal learning. ArXiv 2018

Mateo Rojas-Carulla, Invariant Models for Causal Transfer Learning. J. Mach. Learn. Res. 2018