A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software,Theoretical Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12532-020-00177-4.pdf
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4. Candès, E.J., Plain, Y.: Tight oracle inequalities for low-rank matrix recovery from a minimal number of noisy random measurements. IEEE Trans. Inf. Theory 57(4), 2342–2359 (2011)
5. Candès, E.J., Recht, B.: Exact matrix completion via convex optimization. Found. Comput. Math. 9(6), 717–772 (2009)
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