Shohei SHIMIZU

7 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-1931-0733

Publications

• Causal-learn: Causal Discovery in Python — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Python package for causal discovery based on LiNGAM — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
• Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity — Journal of Machine Learning Research 2010 (name-matched, not ORCID-linked)
• A Linear Non-Gaussian Acyclic Model for Causal Discovery — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)