Alexander Marx


Postdoc Fellow


alexander.marx(at)inf.ethz.ch


ETH AI Center


ETH Zürich



Identifiability of Cause and Effect using Regularized Regression


Conference paper


Alexander Marx, Jilles Vreeken
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2019, pp. 852--861


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Cite

APA
Marx, A., & Vreeken, J. (2019). Identifiability of Cause and Effect using Regularized Regression. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 852–861). ACM.

Chicago/Turabian
Marx, Alexander, and Jilles Vreeken. “Identifiability of Cause and Effect Using Regularized Regression.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 852–861. ACM, 2019.

MLA
Marx, Alexander, and Jilles Vreeken. “Identifiability of Cause and Effect Using Regularized Regression.” Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2019, pp. 852–61.


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