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New research paper questions do-calculus completeness for causal effect identification

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A new paper on arXiv introduces a formal definition for the completeness of do-calculus in causal effect identification. While existing research has shown do-calculus to be sound and complete for specific problems like ID and gID, this work demonstrates its incompleteness for more general problems such as Universal Identifiability (uID). The paper proposes a rigorous formalization for completeness and highlights that the uID problem remains open due to this limitation. AI

RANK_REASON The cluster contains an academic paper discussing theoretical limitations of a causal inference calculus. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

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New research paper questions do-calculus completeness for causal effect identification

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The cluster contains an academic paper discussing theoretical limitations of a causal inference calculus. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yaroslav Kivva, Aliaksandra Novik, Negar Kiyavash ·

    On the Incompleteness of do-calculus for Universal Identifiability

    arXiv:2611.08916v1 Announce Type: new Abstract: We study the problem of causal effect identification from an arbitrary set of observational and/or interventional distributions, which we call Universal Identifiability (uID). The uID problem generalizes existing classical identifia…

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