Yunfei Yang

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stat.ML2026

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks

Yunfei Yang, Jun Fan

This paper studies how efficiently deep ReLU neural networks can approximate and learn smooth functions. When the error is measured in $L^{p} ([0, 1]^{d})$ norm and the approximator is a…

stat.ML2025

On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks

Yunfei Yang

This paper studies the problem of how efficiently functions in the Sobolev spaces $W^{s, q} ([0, 1]^{d})$ and Besov spaces $B_{q, r}^{s} ([0, 1]^{d})$ can be approximated b…