Accurate Uncertainty Estimation and Decomposition in Ensemble Learning

NeurIPS 2019 Jeremiah Zhe LiuJohn PaisleyMarianthi-Anna KioumourtzoglouBrent Coull

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... (read more)

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