The paper proposes AdaGO, a Muon variant with a scalar AdaGrad-Norm step size, and proves optimal nonconvex convergence rates while reporting empirical gains on regression and CIFAR-10.
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AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
The paper proposes AdaGO, a Muon variant with a scalar AdaGrad-Norm step size, and proves optimal nonconvex convergence rates while reporting empirical gains on regression and CIFAR-10.