Maeda, Takashi Nicholas

3 publications

MLOSS 2023 Python Package for Causal Discovery Based on LiNGAM Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu

UAI 2021 Causal Additive Models with Unobserved Variables Takashi Nicholas Maeda, Shohei Shimizu

AISTATS 2020 RCD: Repetitive Causal Discovery of Linear Non-Gaussian Acyclic Models with Latent Confounders Takashi Nicholas Maeda, Shohei Shimizu