MCCT and MCCT-I fit monotone per-rank scale and bias parameters on sorted logits for calibration, but the claimed monotonicity theorem fails for logits with negative values.
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Instance-Wise Monotonic Calibration by Constrained Transformation
MCCT and MCCT-I fit monotone per-rank scale and bias parameters on sorted logits for calibration, but the claimed monotonicity theorem fails for logits with negative values.