Unverified50% confidenceFactExact time
For conditional distribution equality testing in high-dimensional conditional variable settings, the test statistics of traditional kernel-based methods (conditional two-sample tests and joint two-sample tests) converge dramatically more slowly as the dimension increases, making it nearly impossible to detect true differences in finite samples.
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10/15/2026
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