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On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems

31 January 2020

Papers citing "On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems"

4 / 4 papers shown

Title
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization Dan Garber Atara Kaplan 73 0 0 14 Feb 2024
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 78 0 0 23 Jun 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 79 5 0 08 Feb 2022
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization Dan Garber Atara Kaplan 41 5 0 18 Dec 2020