arXiv Machine Learning By Binshuang Li

UpliftBench: Revealing Outcome-Regime and Objective Mismatch in Uplift Evaluation

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arXiv:2608. 00915v1 Announce Type: new Abstract: Uplift modeling (conditional-average-treatment-effect estimation) drives personalized targeting, yet published uplift benchmarks frequently disagree on which estimator performs best; we show the disagreement is substantially about metrics, not models.

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