From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding

Henri Arno, Paloma Rabaey, Thomas Demeester

One of the central goals of causal machine learning is the accurate estimation of heterogeneous treatment effects from observational data. In recent years, meta-learning has emerge…