May 14, 2024, 4:44 a.m. | Zihan Li, Jonathan Scarlett

cs.LG updates on arXiv.org arxiv.org

arXiv:2211.05430v2 Announce Type: replace-cross
Abstract: We consider optimizing a function network in the noise-free grey-box setting with RKHS function classes, where the exact intermediate results are observable. We assume that the structure of the network is known (but not the underlying functions comprising it), and we study three types of structures: (1) chain: a cascade of scalar-valued functions, (2) multi-output chain: a cascade of vector-valued functions, and (3) feed-forward network: a fully connected feed-forward network of scalar-valued functions. We propose …

abstract arxiv box cs.it cs.lg free function functions intermediate math.it network noise observable replace results stat.ml study type types

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