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Causal Inference Through the Structural Causal Marginal Problem

MPS-Authors
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Gresele,  Luigi       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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von Kügelgen,  Julius
External Organizations;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Kübler,  Jonas M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  Bernhard       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Gresele, L., von Kügelgen, J., Kübler, J. M., Kirschbaum, E., Schölkopf, B., & Janzing, D. (2022). Causal Inference Through the Structural Causal Marginal Problem. In K. Chaudhuri, S. Jegelka, L. Song, C. Szepesvari, G. Niu, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (ICML 2022) (pp. 7793-7824). PMLR. Retrieved from https://proceedings.mlr.press/v162/gresele22a.html.


Cite as: https://hdl.handle.net/21.11116/0000-0010-2F76-6
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