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News/The Sharp Tail of Uniform Stability
arxiv
PublishedSeptember 25, 2026 at 4:00 AM
—neutral

The Sharp Tail of Uniform Stability

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arXiv:2608.24098v2 Announce Type: replace Abstract: Uniform stability controls how much one training example can change the loss at any test point. A new logarithmic-free upper bound shows that a $\gamma$-uniformly stable algorithm with loss in $[0,L]$ has generalization gap at most $O \left(\gamma\

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