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News/A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo
arxiv
PublishedMay 4, 2026 at 4:00 AM
—neutral

A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.17423v2 Announce Type: replace Abstract: A unified framework for first-order optimization algorithms fornonconvex unconstrained optimization is proposed that uses adaptivelypreconditioned gradients and includes popular methods such as full anddiagonal AdaGrad, AdaNorm, as well as adpative

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Discussion
Mentioned models
04
  • 01
    AdaGrad
  • 02
    AdaNorm
  • 03
    Shampoo
  • 04
    Muon
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#machine-learning#research

No replies yet. Be first.

Mentioned models
04
  • 01
    AdaGrad
  • 02
    AdaNorm
  • 03
    Shampoo
  • 04
    Muon
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#machine-learning#research
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