Author

Fei Wu

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#machine learning Preprint Sep 2026

Decoupled Causal Discovery

Decoupled Causal Discovery is proposed, a novel decoupling-based perspective that does not rely on conditional independence tests, structure scores, or restrictive functional assumptions, and establishes the theoretical identifiability, soundness, and completeness of DCD.

Zheng Guan, Fei Wu, Kun Kuang · 0 citations