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stat.ML2026
Domain-Adapted Diffusion Models for Conditional Independence Testing
Yanfeng Yang, Junda Zhao, Yijie Gao +8
Conditional independence (CI) is a fundamental concept in statistics and machine learning. Recent advances in conditional generative modeling provide flexible tools for generative-…
stat.ME2026
CRT*: Conditional Randomization Testing with Heterogeneous External and Unlabeled Data
Yingjie Zhang, Ziqi Chen, Chenlei Leng
The conditional randomization test (CRT) provides a principled approach to conditional independence (CI) testing, guaranteeing exact type-I error control when the true conditional…