Identifiability of Cause and Effect using Regularized Regression

Alexander Marx, Jilles Vreeken. Identifiability of Cause and Effect using Regularized Regression. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 852-861, ACM, 2019. [doi]

@inproceedings{MarxV19-0,
  title = {Identifiability of Cause and Effect using Regularized Regression},
  author = {Alexander Marx and Jilles Vreeken},
  year = {2019},
  doi = {10.1145/3292500.3330854},
  url = {https://doi.org/10.1145/3292500.3330854},
  researchr = {https://researchr.org/publication/MarxV19-0},
  cites = {0},
  citedby = {0},
  pages = {852-861},
  booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
  editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
  publisher = {ACM},
  isbn = {978-1-4503-6201-6},
}