Causal Inference in Time Series via Supervised Learning. Y Chikahara, A Fujino IJCAI, 2042-2048, 2018 | 34 | 2018 |
LibSBMLSim: a reference implementation of fully functional SBML simulator H Takizawa, K Nakamura, A Tabira, Y Chikahara, T Matsui, N Hiroi, ... Bioinformatics 29 (11), 1474-1476, 2013 | 22 | 2013 |
Learning individually fair classifier with path-specific causal-effect constraint Y Chikahara, S Sakaue, A Fujino, H Kashima International conference on artificial intelligence and statistics, 145-153, 2021 | 17 | 2021 |
Feature selection for discovering distributional treatment effect modifiers Y Chikahara, M Yamada, H Kashima Uncertainty in Artificial Intelligence, 400-410, 2022 | 3 | 2022 |
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model S Horii, Y Chikahara Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20420 …, 2024 | 1 | 2024 |
Making individually fair predictions with causal pathways Y Chikahara, S Sakaue, A Fujino, H Kashima Data Mining and Knowledge Discovery 37 (4), 1327-1373, 2023 | 1 | 2023 |
Learning apparatus, classification apparatus, learning method, classification method and program Y Chikahara, A Fujino US Patent App. 17/772,098, 2022 | 1 | 2022 |
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers T Iwata, Y Chikahara Machine Learning, 1-22, 2024 | | 2024 |
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Y Chikahara, K Ushiyama arXiv preprint arXiv:2404.17483, 2024 | | 2024 |
Causal Inference for Scientific Discoveries and Fairness-Aware Machine Learning Y Chikahara Kyoto University, 2022 | | 2022 |
Causation learning apparatus, causation estimation apparatus, causation learning method, causation estimation method and program Y Chikahara, A Fujino US Patent App. 17/044,783, 2021 | | 2021 |
教師あり学習に基づく Granger causality の推定 近原鷹一, 藤野昭典 情報処理学会論文誌数理モデル化と応用 (TOM) 11 (3), 58-73, 2018 | | 2018 |
教師あり学習に基づく時系列の因果推論 近原鷹一, 藤野昭典 研究報告数理モデル化と問題解決 (MPS) 118 (24), 1-6, 2018 | | 2018 |
A Supervised Learning Approach to Causal Inference for Bivariate Time Series Y Chikahara, A Fujino IEICE Technical Report; IEICE Tech. Rep. 116 (121), 189-194, 2016 | | 2016 |
教師あり学習に基づく 2 変量時系列の因果推論 近原鷹一, 藤野昭典 電子情報通信学会技術研究報告; 信学技報 116 (121), 189-194, 2016 | | 2016 |
Integrative clustering of cancer genome data using infinite relational models Y Chikahara, A Niida, R Yamaguchi, S Imoto, S Miyano International Conference on Bioinformatics and Computational Biology (BICOB) 1, 2015 | | 2015 |