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Ruichu Cai

2 papers indexed

arxivcs.LG2026-07-22

Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias

Zheng Li, Hao Zhang, Ruxin Wang, Ruichu Cai, Kun Zhang, Feng Xie

Discovering the direct causes and effects of a target variable from observational data is a fundamental problem in causal discovery, with broad applications in domains such as gene regulatory analysis and biomedical research. Existing causal discovery methods either learn a globa…

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arxivcs.LGcs.AIstat.ML2026-07-13

CDFM: Towards a General-Purpose Causal Discovery Foundation Model

Jie Qiao, Ruichu Cai, Zijian Li, Weilin Chen, Pengfei Hua, Boyan Xu, et al.

Causal discovery, the process of recovering underlying causal structures from observational data, is a fundamental pursuit across scientific disciplines. Over the past decades, numerous algorithms have been developed to tackle this challenge through workflows tailored to the spec…

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