12 citations · 28 across the 11 of their papers we have counts for
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stat.ML2020★ 3 cited
Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
Masahiro Kato, Takuya Ishihara, Junya Honda +1
We study how to efficiently estimate average treatment effects (ATEs) using adaptive experiments. In adaptive experiments, experimenters sequentially assign treatments to experimen…
stat.ME2020
Panel Data Quantile Regression for Treatment Effect Models
Takuya Ishihara
In this study, we develop a novel estimation method for quantile treatment effects (QTE) under rank invariance and rank stationarity assumptions. Ishihara (2020) explores identific…