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News/Weighted Data Selection: Sharp Upper-Half and Five-Dimensional Laws
arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral

Weighted Data Selection: Sharp Upper-Half and Five-Dimensional Laws

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Publisher summary· verbatim

arXiv:2610.00101v1 Announce Type: cross Abstract: How much risk does a small reweighted training support retain? For finite weighted least squares with the minimum-norm learner, we prove the exact law $\Gamma_d(n)=3-n/d$ throughout $\lceil3d/2\rceil\leq n\leq2d-1$. The guarantee covers every observe

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