Study: Adam Optimizer Destroys Low-Rank Bias in Models
A recent paper and experiments reveal that optimizers like Adam disrupt the inherent low-rank bias of gradient descent due to their coordinate-wise mechanisms, whereas optimizers like Muon perform exceptionally well at low-tail energies.
2026-08-11 ~ 2026-08-13 · 2 related posts
- Study: Adam Optimizer Breaks Low-Rank Bias in Transformers — Devender Singh · 2026-08-11
- Experiments Show Adam Destroys Low-Rank Bias; Muon Excels at Low Tail Energy — EtherealGlyph · 2026-08-13