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08/03/2023
Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the Tensor Nuclear Norm Under Strict Complementarity
We consider convex relaxations for recovering low-rank tensors based on ...
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06/23/2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-rank and nonsmooth matrix optimization problems capture many fundame...
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02/08/2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-rank and nonsmooth matrix optimization problems capture many fundame...
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12/18/2020
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
Convex optimization over the spectrahedron, i.e., the set of all real n×...
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09/27/2018
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems
Composite convex optimization problems which include both a nonsmooth te...
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02/15/2018
