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News/Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging
arxiv
PublishedApril 21, 2026 at 4:00 AM

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

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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 concentration condition and prove that subbagging guarantees

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