5 citations · 5 across the 1 of their papers we have counts for
3 papers
econ.EM2026★ 5 cited
Evidence Aggregation for Treatment Choice
Takuya Ishihara, Toru Kitagawa
Consider a planner who has limited knowledge of the policy's causal impact on a certain local population of interest due to a lack of data, but does have access to the publicized i…
econ.EM2025
Shrinkage Methods for Treatment Choice
Takuya Ishihara, Daisuke Kurisu
This study examines the problem of determining whether to treat individuals based on observed covariates. The most common decision rule is the conditional empirical success (CES) r…
stat.ML2025
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…