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Ren-Wei Liu

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#machine learning Preprint Sep 2026

Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression

A finite-sample theory for continuous density ratio estimation and importance-weighted learning under target shift is established and the resulting regression estimator attains the minimax-optimal rates of standard kernel regression.

Ren-Wei Liu, Zheng-Chu Guo · 0 citations