Accurate Uncertainty Estimation and Decomposition in Ensemble Learning

Jeremiah Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull

Oct-2-2025, 07:07:24 GMT–Neural Information Processing Systems

Ensemble learning is a standard approach to building machine learning systems that capture complex phenomena in real-world data. An important aspect of these systems is the complete and valid quantification of model uncertainty.

data mining, ensemble model, machine learning, (18 more...)

Neural Information Processing Systems

Oct-2-2025, 07:07:24 GMT

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