Residual-Based Causal Discovery via Pretrained In-Context Quantile Regression
arXiv:2610.29530v1 Announce Type: new Abstract: Residual-based causal discovery assumes that each variable is generated from its parents and an independent noise source. It estimates this noise and tests its independence from candidate causes. For identifiable functions such as additive-noise model…
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- 2026-10-22 04:00 · arXiv stat.ML
Residual-Based Causal Discovery via Pretrained In-Context Quantile Regression