Chikahara, Yoichi

6 publications

UAI 2024 Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara, Kansei Ushiyama

MLJ 2024 Meta-Learning for Heterogeneous Treatment Effect Estimation with Closed-Form Solvers Tomoharu Iwata, Yoichi Chikahara

AAAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model Shunsuke Horii, Yoichi Chikahara

UAI 2022 Feature Selection for Discovering Distributional Treatment Effect Modifiers Yoichi Chikahara, Makoto Yamada, Hisashi Kashima

AISTATS 2021 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima

IJCAI 2018 Causal Inference in Time Series via Supervised Learning Yoichi Chikahara, Akinori Fujino