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Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants

arXiv cs.LG · 2026-07-08 Cached

Proposes a finite-sample method for recovering the sparsest DAG in linear non-Gaussian acyclic models with latent confounders using higher-order cumulants, without restricting the number of latents.

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