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Domain-Adapted Diffusion Models for Conditional Independence Testing

arXiv:2609.33490v1 Announce Type: new Abstract: Conditional independence (CI) is a fundamental concept in statistics and machine learning. Recent advances in conditional generative modeling provide flexible tools for generative-model-based CI tests, which rely on an estimated conditional distributi…

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  1. 2026-09-29 04:00 · arXiv stat.ML
    Domain-Adapted Diffusion Models for Conditional Independence Testing

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