Interventional competence cannot be learned from data alone; predictive gains may require persistent errors in response to interventions, even for deterministic predictors under squared-error loss.
Read the original at arxiv.org→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...
Original headline: "Predictive gains, causal losses: why interventional competence cannot be learned from data alone"
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- Nov 4, 05:00 UTC arXiv cs.AI lead source Predictive gains, causal losses: why interventional competence cannot be learned from data alone