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Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma 1 Matthew B. Blaschko 1
Abstract To achieve this objective, one can design models with in-
In many applications, it is desirable that a classi trinsically low calibration errors. These models (Wilson
er not only makes accurate predictions, but also et al., 2016; Pereyra et al., 2017; Lakshminarayanan et al.,
outputs calibrated posterior probabilities. How ...
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