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From SGD to Muon: Adaptive Optimization via Schatten-p Norms
BACKGROUND
1 SIGNALFIRST DETECTED 21 May 2026
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21 May
From SGD to Muon: Adaptive Optimization via Schatten-p Norms
REPORT · HOW · ArXiv CS.AI
Other feeds and industry voices
17 Jul
Reassessing Muon for Matrix Factorization
arXiv:2607.13246v1 Announce Type: cross Abstract: Muon has recently emerged as a strong optimizer for large-scale deep learning, where it reshapes gradient updates through
REPORT · WHERE · ArXiv CS.AIOPEN STORY
8 May
Layerwise LQR for Geometry-Aware Optimization of Deep Networks
arXiv:2605.04230v1 Announce Type: cross Abstract: Geometry-aware optimizers such as Newton and natural gradient can improve conditioning in deep learning, but scalable variants
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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ArXiv CS.AI
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