Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares

Neural Information Processing Systems 

We propose a new algorithm for the problem of recovering data that adheres to multiple, heterogeneous low-dimensional structures from linear observations.

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