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Tomoka Takei

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#machine learning Preprint Sep 2026

Optimal Multi-way Decision Trees for Stratified Sampling in Online Controlled Experiments

This work proposes an optimization-based stratification framework for stratified sampling using optimal multi-way decision trees, and introduces reduction procedures for redundant candidate paths and assignment constraints, substantially reducing the optimization problem size.

Tomoka Takei, Shunnosuke Ikeda, Yuichi Takano · 0 citations

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