arxiv
PublishedJune 24, 2026 at 4:00 AM
Robust and Fast Training via Per-Sample Clipping
Publisher summary· verbatim
arXiv:2605.02701v2 Announce Type: replace-cross Abstract: We propose a robust gradient estimator based on per-sample gradient clipping and analyze its properties both theoretically and empirically. We show that the resulting method, per-sample clipped SGD (PS-Clip-SGD), achieves optimal in-expectati
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Originally published on arxiv ↗