Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
learning algorithms use regularisation to prevent overfitting — but this can be damaging to causal problems. Take the hyper-parameter max features from gradient boosting tree methods — in a number of trees, it is likely that the treatment won’t be included in the model. This will dampen the effect