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stat.ME2024
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
Masahiro Kato, Akihiro Oga, Wataru Komatsubara +1
This study designs an adaptive experiment for efficiently estimating average treatment effects (ATEs). In each round of our adaptive experiment, an experimenter sequentially sample…
stat.ME2023
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
Masahiro Kato, Kota Matsui, Ryo Inokuchi
Consider a scenario where we have access to train data with both covariates and outcomes while test data only contains covariates. In this scenario, our primary aim is to predict t…