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News/Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD
arxiv
PublishedJuly 29, 2026 at 4:00 AM
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Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD

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arXiv:2607.24235v1 Announce Type: cross Abstract: Over the past 20 years, kernel discrepancies have been leveraged as a highly powerful tool for quantifying the disagreement of distributions, with numerous successful applications in two-sample, goodness-of-fit, and independence testing, among others

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