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Structural causal models (SCMs) are a widespread formalism to deal with causal systems.
Causality
Judea Pearl · 2009
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Quantifying causal influences
Dominik Janzing, David Balduzzi, Moritz Grosse-Wentrup, and Bernhard Schölkopf · 2013
Earlier work this paper cites.
Category theory for the sciences
David I Spivak · 2014
Earlier work this paper cites.
Jointly interventional and observational data: estimation of interventional markov equivalence classes of directed acyclic graphs
Alain Hauser and Peter Bühlmann · 2015
Earlier work this paper cites.
Elements of causal inference: Foundations and learning algorithms
Jonas Peters, Dominik Janzing, and Bernhard Schölkopf · 2017
Earlier work this paper cites.
Causal consistency of structural equation models
Paul K Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M Mooij, Dominik Janzing, Moritz Grosse-Wentrup, and Bernhard Schölkopf · 2017
Cited alongside, same era.
Abstracting causal models
Sander Beckers and Joseph Y Halpern · 2019
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Causal inference by string diagram surgery
Bart Jacobs, Aleks Kissinger, and Fabio Zanasi · 2019
Cited alongside, same era.
Approximate causal abstractions
Sander Beckers, Frederick Eberhardt, and Joseph Y Halpern · 2020
Cited alongside, same era.
The category theory of causal models
Eigil Fjeldgren Rischel · 2020
Later among the works it cites.
Compositional abstraction error and a category of causal models
Eigil F Rischel and Sebastian Weichwald · 2021
Later among the works it cites.
Toward causal representation learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio · 2021
Later among the works it cites.
On the equivalence of causal models: A category-theoretic approach
Jun Otsuka and Hayato Saigo · 2022
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