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Hai-Feng Xu

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Preprint Oct 2026

Hybrid Momentum Methods for Optimizing Deep Learning Models

This work proposes Hybrid Momentum (HyM), which combines a linearly weighted average of past gradients with a geometrically discounted fast momentum, and proposes HyMUON, which applies Newton--Schulz orthogonalization to the hybrid direction.

Hai-Feng Xu, Yi-Jin Ren, Chenyu Zhou et al. · 0 citations