Causality, NLP, Machine Learning, Deep Dives, Thoughts And Theory.
of domain knowledge of the causal structure of the data generating process (DGP), which can suggest inductive biases leading to more robust predictors. Furthermore, with regard to fairness, a casual view of the predictor can explain its inner workings, a significant advantage over non-causal black