AI RESEARCH
Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
arXiv CS.LG
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ArXi:2605.11850v1 Announce Type: cross In this work, we develop proximal preconditioned gradient methods with a focus on spectral gradient methods providing a proximal extension to the Muon and Scion optimizers. We