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1 result for AdaUSM

Unified AdaGrad with momentum accelerates stochastic optimization in non-convex settings.

problem Theoretical gaps in convergence for AdaGrad and related algorithms in non-convex stochastic settings.
method Proposes AdaUSM, a unified momentum scheme for AdaGrad with adaptive learning rates.
result AdaUSM achieves a convergence rate of O(log(T)/T)\mathcal{O}(\log(T)/\sqrt{T}) in non-convex stochastic settings.