前田 高志ニコラス

Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data.

CoRR abs/2401.07231 2024年  

Python package for causal discovery based on LiNGAM

Journal of Machine Learning Research 24(14) 2023年1月  査読有り

The economic value of urban landscapes in a suburban city of Tokyo, Japan: A semantic segmentation approach using Google Street View images

Journal of Asian Architecture and Building Engineering 22(3) 1110-1125 2022年7月14日  査読有り

I-RCD: An improved algorithm of repetitive causal discovery from data with latent confounders

Behaviormetrika 2022年6月4日  査読有り招待有り筆頭著者最終著者責任著者

Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders

International Journal of Data Science and Analytics 13(2) 77-89 2021年9月7日  査読有り筆頭著者

Causal Additive Models with Unobserved Variables

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence 161 97-106 2021年7月27日  査読有り

Discovery of Causal Additive Models in the Presence of Unobserved Variables.

CoRR abs/2106.02234 2021年  

RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders

JMLR Workshop and Conference Proceedings, AISTATS2020 (Proc. 23rd International Conference on Artificial Intelligence and Statistics) 735-745 2020年5月  査読有り

Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders.

CoRR abs/2001.04197 2020年