Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems

27 September 2018

Papers citing "Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems"

7 / 7 papers shown

Title
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle Dan Garber Tsur Livney Shoham Sabach 33 2 0 25 Oct 2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 76 0 0 23 Jun 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 75 5 0 08 Feb 2022
Revisiting Projection-free Online Learning: the Strongly Convex Case Dan Garber Ben Kretzu 70 31 0 15 Oct 2020
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems Dan Garber 76 4 0 31 Jan 2020
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity Dan Garber 89 15 0 03 Dec 2019
Stochastic Frank-Wolfe for Composite Convex Minimization Francesco Locatello A. Yurtsever Olivier Fercoq Volkan Cevher 52 15 0 29 Jan 2019