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20172023
most citedThe Power of First-Order Smooth Optimization for Black-Box Non-Smooth Problems

12 citations · 25 across the 5 of their papers we have counts for

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cs.LG2023

Stochastic Gradient Descent with Preconditioned Polyak Step-size

Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov +1

Stochastic Gradient Descent (SGD) is one of the many iterative optimization methods that are widely used in solving machine learning problems. These methods display valuable proper…