research
∙
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...
share
research
∙
07/25/2020
Robust and Generalizable Visual Representation Learning via Random Convolutions
While successful for various computer vision tasks, deep neural networks...
research
∙
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...
research
∙
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...
research
∙
02/17/2020