Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging
arXiv:2604.17694v1 Announce Type: cross
Abstract: Predictions from machine learning algorithms can vary across random seeds, inducing instability in downstream debiased machine learning estimators. We formalize random seed stability via a concentratio…