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News/Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
arxiv
PublishedJune 5, 2026 at 4:00 AM
▲bullish

Toward Scalable and Valid Conditional Independence Testing with Spectral Representations

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Publisher summary· verbatim

arXiv:2512.19510v2 Announce Type: replace Abstract: Conditional independence (CI) is central to causal inference, feature selection, and graphical modeling, yet it is untestable in many settings without additional assumptions. Existing CI tests often rely on restrictive structural conditions, limiti

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#machine-learning#representation-learning#causal-inference

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