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11/25/2021
Randomized Stochastic Gradient Descent Ascent
An increasing number of machine learning problems, such as robust or adv...
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06/20/2020
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization
We present a unified theorem for the convergence analysis of stochastic ...
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06/18/2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
We provide several convergence theorems for SGD for two large classes of...
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06/14/2020
On the convergence of the Stochastic Heavy Ball Method
We provide a comprehensive analysis of the Stochastic Heavy Ball (SHB) m...
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07/31/2019
