Domain-Adapted Diffusion Models for Conditional Independence Testing
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 distribution to generate randomized samples. However, errors in estimating this...
Yan-Feng Yang, Jun-Da Zhao, Yi-Jie Gao et al.
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