Search Results for author: Cédric Josz

Found 1 papers, 0 papers with code

How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?

no code implementations NeurIPS 2018 Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei

When the linear measurements of an instance of low-rank matrix recovery satisfy a restricted isometry property (RIP)---i. e. they are approximately norm-preserving---the problem is known to contain no spurious local minima, so exact recovery is guaranteed.

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