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08/20/2020
An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization
In this note we propose a new variant of the hybrid variance-reduced pro...
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07/25/2020
Robust and Generalizable Visual Representation Learning via Random Convolutions
While successful for various computer vision tasks, deep neural networks...
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06/27/2020
Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems
We develop a novel variance-reduced algorithm to solve a stochastic nonc...
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03/03/2020
Randomized Primal-Dual Algorithms for Composite Convex Minimization with Faster Convergence Rates
We develop two novel randomized primal-dual algorithms to solve nonsmoot...
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02/17/2020
