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06/21/2023
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds
Stochastic gradient descent (SGD) is perhaps the most prevalent optimiza...
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12/09/2022
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
Nonconvex optimization is central in solving many machine learning probl...
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03/17/2022
