NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
all covariates are kept fixed, we must reason about interventions. Pryzant et al. describe two challenges to estimating causal effects from observational data. Firstly, there is a need to “formalize the causal effect of interest by specifying the hypothetical intervention to which it corresponds.”