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- W2472904648 abstract "The contraction inequality for Rademacher averages is extended to Lipschitz functions with vector-valued domains, and it is also shown that in the bounding expression the Rademacher variables can be replaced by arbitrary iid symmetric and sub-gaussian variables. Example applications are given for multi-category learning, K-means clustering and learning-to-learn." @default.
- W2472904648 created "2016-07-22" @default.
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- W2472904648 date "2016-05-01" @default.
- W2472904648 modified "2023-09-25" @default.
- W2472904648 title "A vector-contraction inequality for Rademacher complexities" @default.
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