Predictive gains, causal losses: why interventional competence cannot be learned from data alone
arXiv:2611.03861v1 Announce Type: new Abstract: Retaining predictive gains can require persistent errors in a model's response to interventions. For deterministic predictors with finite second moments under squared-error loss, any observational advantage over the best predictor using only an outcom…
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- 2026-11-04 05:00 · arXiv cs.AI
Predictive gains, causal losses: why interventional competence cannot be learned from data alone