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Even Sharper Bounds for Transductive Learning and Its Applications

Yang, Yingzhen
arXiv (All) · Papers
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information-theorymachine-learningstatistics-theory
We introduce Sharper Transductive Local Complexity (STLC), a localized complexity method for transductive learning under uniform sampling without replacement. The construction starts from a Bernstein-type concentration inequality for the supremum of the test--train empirical process. Its proof uses
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