On the Convergence of Projected-Gradient Methods with Low-Rank
Projections for Smooth Convex Minimization over Trace-Norm Balls and Related
Problems

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On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems

5 February 2019

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Papers citing "On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems"

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Title
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization Dan Garber Atara Kaplan 86 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
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing Meng Ding Xiao Fu Xile Zhao 57 11 0 08 May 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity Dan Garber Ron Fisher 68 1 0 08 Feb 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 48 5 0 18 Dec 2020
$k$ FW: A Frank-Wolfe style algorithm with stronger subproblem oracles Lijun Ding Jicong Fan Madeleine Udell 59 6 0 29 Jun 2020
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems Dan Garber 91 4 0 31 Jan 2020
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity Dan Garber 99 15 0 03 Dec 2019