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Study argues interventional competence cannot be learned from data alone

A new arXiv paper in cs.AI argues that retaining predictive gains may require persistent errors in a model's response to interventions, showing for deterministic predictors with finite second moments that interventional competence cannot be learned from observational data alone.

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-11-04 05:00 · arXiv cs.AI
    Predictive gains, causal losses: why interventional competence cannot be learned from data alone

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