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20132026
most citedFast Algorithms for Robust PCA via Gradient Descent

134 citations · 445 across the 29 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

cs.LG2016★ 37 cited

Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization

Xinyang Yi, Constantine Caramanis, Sujay Sanghavi

We consider the problem of solving mixed random linear equations with components. This is the noiseless setting of mixed linear regression. The goal is to estimate multiple lin…

cs.IT2016★ 134 cited

Fast Algorithms for Robust PCA via Gradient Descent

Xinyang Yi, Dohyung Park, Yudong Chen +1

We consider the problem of Robust PCA in the fully and partially observed settings. Without corruptions, this is the well-known matrix completion problem. From a statistical standp…