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Tian-Fang Wang

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#machine learning Preprint Nov 2026

Reproducing Kernel (Quasi-)Banach Spaces with the $\ell^p$ Coefficient Norms

This paper advances the theory of reproducing kernel Banach spaces (RKBSs) by investigating the general $\ell^p$ regularization framework, with a particular focus on the non-convex regime $0<p<1$. While our preceding work established the foundation for RKBSs with the $\ell^1$ norm, the pursuit of stronger sparsity---cl...

Tian-Fang Wang, Guo-Hui Song, Hai-Zhang Zhang · 0 citations

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