Cross-fitting Test for Personalized Utility
_onionesque · x · 2026-07-14
This post elaborates on the cross-fitting details in the paper: the authors aim to address the question of 'how much value personalization actually brings' and propose a corresponding testing method.
A reply further summarizes the workflow: first, learn the personalized strategy and the best constant action on a subset of data; then, learn the outcome and propensity models on another subset; finally, calculate the AIPW score on held-out data and perform cross-fitting. Another reply points out that this approach is particularly natural in educational data mining / intelligent tutoring scenarios.
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