AI, Data Science, Predictions, Machine Learning, Causal Inference.
minimization is the standard approach to training predictive models and often causal models. Unfortunately, models trained in this way struggle to distinguish between causal and non-causal relationships (e.g. spurious correlations). This means models perform poorly in the presence of confounding