Towards Well-Calibrated AutoML: A Theoretical Analysis based on Ensemble Diversity
Keywords: Automated Machine Learning (AutoML), AUTO-SKLEARN, Bayesian Optimization (BO), Diversity, Ensemble learning, Uncertainty quantification
Submission Number: 272
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