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stat.ME2026
Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression
Seok-Jin Kim, Kaizheng Wang
We study the problem of estimating the effect function for a continuous treatment, which maps each treatment value to a population-averaged outcome. A central challenge in this set…
stat.ME2026
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
Seok-Jin Kim
We propose an optimal algorithm for estimating conditional average treatment effects (CATEs) when response functions lie in a reproducing kernel Hilbert space (RKHS). We study sett…
stat.ME2025
Transfer Learning of CATE with Kernel Ridge Regression
Seok-Jin Kim, Hongjie Liu, Molei Liu +1
The proliferation of data has sparked significant interest in leveraging findings from one study to estimate treatment effects in a different target population without direct outco…