A new adaptive step-size for SGD, built on the AdaGD Lyapunov function, provably converges in several convex settings without tuned hyper-parameters.
Complexity guarantees for Polyak steps with momentum
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Stochastic Adaptive Gradient Descent Without Descent
A new adaptive step-size for SGD, built on the AdaGD Lyapunov function, provably converges in several convex settings without tuned hyper-parameters.