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20192022
most citedPrivate Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps

6 citations · 11 across the 5 of their papers we have counts for

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math.OC2021

The Convergence Rate of SGD's Final Iterate: Analysis on Dimension Dependence

Daogao Liu, Zhou Lu

Stochastic Gradient Descent (SGD) is among the simplest and most popular methods in optimization. The convergence rate for SGD has been extensively studied and tight analyses have…