Yoichi Chikahara

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 11

Top Topics

Causal Inference

Top Venues

Publications

Shunsuke Horii, Yoichi Chikahara
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model. AAAI (2024)
Tomoharu Iwata, Yoichi Chikahara
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. Mach. Learn. 113 (9) (2024)
Yoichi Chikahara, Kansei Ushiyama
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation. CoRR (2024)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima
Making individually fair predictions with causal pathways. Data Min. Knowl. Discov. 37 (4) (2023)
Shunsuke Horii, Yoichi Chikahara
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model. CoRR (2023)
Tomoharu Iwata, Yoichi Chikahara
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. CoRR (2023)
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Feature selection for discovering distributional treatment effect modifiers. UAI (2022)
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR (2022)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. AISTATS (2021)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino
Learning Individually Fair Classifier with Causal-Effect Constraint. CoRR (2020)
Yoichi Chikahara, Akinori Fujino
Causal Inference in Time Series via Supervised Learning. IJCAI (2018)
Hiromu Takizawa, Kazushige Nakamura, Akito Tabira, Yoichi Chikahara, Tatsuhiro Matsui, Noriko Hiroi, Akira Funahashi
LibSBMLSim: a reference implementation of fully functional SBML simulator. Bioinform. 29 (11) (2013)