Position: Probabilistic Modelling is Sufficient for Causal Inference

@conference{MloKruTur25,
  title = {Position: Probabilistic Modelling is Sufficient for Causal Inference},
  booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
  volume = {267},
  pages = {81810--81840},
  series = {Proceedings of Machine Learning Research},
  editors = {Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry},
  publisher = {PMLR},
  month = jul,
  year = {2025},
  author = {Mlodozeniec, B. K. and Krueger, D. and Turner, R. E.},
  url = {https://proceedings.mlr.press/v267/mlodozeniec25a.html},
  month_numeric = {7}
}