Towards causality-aware predictions in static anticausal machine learning tasks: the linear structural causal model case

Elias Chaibub Neto

We propose a counterfactual approach to train ``causality-aware" predictive models that are able to leverage causal information in static anticausal machine learning tasks (i.e., p…