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20182024
most citedImproved Complexities of Conditional Gradient-Type Methods with Applications to Robust Matrix Recovery Problems

7 citations · 9 across the 7 of their papers we have counts for

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math.OC2023

Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the Tensor Nuclear Norm Under Strict Complementarity

Dan Garber, Atara Kaplan

We consider convex relaxations for recovering low-rank tensors based on constrained minimization over a ball induced by the tensor nuclear norm, recently introduced in \cite{tensor…