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V. Matyukhin

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#machine learning Preprint Sep 2026

Clipped or Unclipped? Finite-Sample Trade-offs for Averaged SGD under Heavy-Tailed Noise

This work derives a finite-sample comparison of clipped and unclipped Polyak-Ruppert averaged SGD under finite conditional $p$-th moments, and gives explicit accuracy and confidence conditions under which, for $p>2$, the Gaussian term dominates the unclipped deviation bound, so clipping need not improve its leading ord...

A. Suvorikova, E. Gladin, D. Dvinskikh et al. · 0 citations

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