research
∙
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...
share
research
∙
03/28/2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
Exploiting partial first-order information in a cyclic way is arguably t...
research
∙
11/02/2021
Coordinate Linear Variance Reduction for Generalized Linear Programming
We study a class of generalized linear programs (GLP) in a large-scale s...
research
∙
02/12/2021
