Paper at ECML-PKDD'26 (JT)
Marlies' paper on causal-effect estimation when the data may be subject to selection bias has been accepted to the ECML-PKDD'26 journal track (Springer Machine Learning).
Paper details: Marlies Hafer, Alexander Marx. Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding. Machine Learning, Springer, Collection ECML-PKDD
OpenReview Link: https://link.springer.com/article/10.1007/s10994-026-07054-6