Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging

Nicholas Williams, Alejandro Schuler

Predictions from machine learning algorithms can vary across random seeds, inducing instability in downstream debiased machine learning estimators. We formalize random seed stabili…