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FOCUS: Fixed-Confidence Online Causal Learning Using Sequential Adaptive Interventions

arXiv:2609.32165v1 Announce Type: new Abstract: We study fully online fixed-confidence causal discovery without any historical observational data. Starting from zero samples, the learner sequentially selects interventions to recover both the causal DAG and its edge weights under a linear-Gaussian s…

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  1. 2026-09-29 04:00 · arXiv stat.ML
    FOCUS: Fixed-Confidence Online Causal Learning Using Sequential Adaptive Interventions

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