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uncertainty calibration

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Alimama Tech
Alimama Tech
May 18, 2022 · Artificial Intelligence

Multiple Boosting Calibration Trees (MBCT): Feature‑Aware Binning for Uncertainty Calibration

The paper introduces Multiple Boosting Calibration Trees, a feature‑aware binning ensemble that uses a new multi‑view calibration error metric and boosting to learn personalized, non‑monotonic calibrations for CTR prediction, achieving lower calibration error and higher click‑through rates and revenue than existing methods in both offline and online tests.

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Multiple Boosting Calibration Trees (MBCT): Feature‑Aware Binning for Uncertainty Calibration