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Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model

arXiv:2610.00424v1 Announce Type: new Abstract: Knowing how much a causal predictor could improve need not reveal the gain of the repair actually learned. We quantify this gap in a scalar Gaussian causal experiment with known intervention geometry: auxiliary data identify effect magnitude up to bou…

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  1. 2026-10-02 04:00 · arXiv stat.ML
    Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model

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