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- W4301479760 abstract "We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of the underlying Banach norm. We use this inequality in order to investigate in the asymptotical regime the error upper bounds for the broad family of spectral regularization methods for reproducing kernel decision rules, when trained on a sample coming from a $tau-$mixing process." @default.
- W4301479760 created "2022-10-05" @default.
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- W4301479760 date "2017-12-05" @default.
- W4301479760 modified "2023-10-18" @default.
- W4301479760 title "Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods" @default.
- W4301479760 doi "https://doi.org/10.48550/arxiv.1712.01934" @default.
- W4301479760 hasPublicationYear "2017" @default.
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