2022 (v1)
Publication
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Uploaded on: February 14, 2024
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Last name: ERNESTO DE VITO
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We study a natural extension of classical empirical risk minimization, where the hypothesis space is a random subspace of a given space. In particular, we consider possibly data dependent subspaces spanned by a random subset of the data, recovering as a special case Nystr"om approaches for kernel methods. Considering random subspaces naturally...