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

37 citations · 37 across the 1 of their papers we have counts for

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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…