Lecture notes present a machine-learning surrogate framework using boosted decision trees and active learning to perform efficient global fits in HEP, demonstrated on ALP parameter space for the Belle II B to K nu nu anomaly.
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Lecture notes on Machine Learning applications for global fits
Lecture notes present a machine-learning surrogate framework using boosted decision trees and active learning to perform efficient global fits in HEP, demonstrated on ALP parameter space for the Belle II B to K nu nu anomaly.