Two-Layer Random ReLU Networks Can Separate Disjoint Classes
arXiv:2611.04211v1 Announce Type: new Abstract: Set separation by continuous linear functionals is fundamental in functional analysis and convex optimization and underlies binary classification in machine learning. Support vector machines provide maximum-margin affine separators for linearly separa…
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- 2026-11-04 05:00 · arXiv stat.ML
Two-Layer Random ReLU Networks Can Separate Disjoint Classes