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stat.ML2021★ 2 cited
Minimising quantifier variance under prior probability shift
Dirk Tasche
For the binary prevalence quantification problem under prior probability shift, we determine the asymptotic variance of the maximum likelihood estimator. We find that it is a funct…
stat.ML2021★ 10 cited
Calibrating sufficiently
Dirk Tasche
When probabilistic classifiers are trained and calibrated, the so-called grouping loss component of the calibration loss can easily be overlooked. Grouping loss refers to the gap b…