AINeutralarXiv – CS AI · 6h ago6/10
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Computational Identifiability
Researchers propose 'computational identifiability,' a new framework that redefines how causal effects are identified in data science by shifting from theoretical, infinite-data assumptions to practical, finite computational search procedures. This approach enables identification under realistic conditions including small samples, ambiguous graphical criteria, and mixed observational-interventional data.