3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.ST2026
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
Shu Tamano, Masaaki Imaizumi
Distributional causal inference requires estimating not only average treatment effects but also interventional outcome distributions, including quantiles, tail risks, and policy-de…
math.ST2026
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
Donlapark Ponnoprat, Noboru Isobe, Masaaki Imaizumi
Unbalanced optimal transport (UOT) extends classical optimal transport to measures with different total masses, but statistical guarantees for Monge-type estimation remain limited.…
econ.EM2023★ 3 cited
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato, Masaaki Imaizumi
In causal inference about two treatments, Conditional Average Treatment Effects (CATEs) play an important role as a quantity representing an individualized causal effect, defined a…