Takashi Nicholas Maeda

4 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

AAAI (1) AISTATS (1) JMLR (1) UAI (1)

Top co-authors

Shohei Shimizu (4) Thong Pham (1) Mayumi Ide (1) Takuya Takagi (1) Hirofumi Suzuki (1) Kentaro Kanamori (1) Yan Zeng (1) Takashi Ikeuchi (1)

Research topics

Artificial Intelligence (3) Core AI (3) Knowledge & Reasoning (1) Machine Learning (1) Mathematics & Optimization (1) Mathematics (1) Optimization & Theory (1) Reasoning (1)

Keywords

causal discovery (4) causal graph (2) causal additive model (2) unobserved variable (2) latent confounder (1) independence test (1) python package (1) structural consistency (1) nonlinear causal structure (1) time series (1) causal structure (1) directed acyclic graph (1)

Papers

I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026 Python package for causal discovery based on LiNGAM JMLR 2023 Causal additive models with unobserved variables UAI 2021 RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders AISTATS 2020