Matrix Completion from Power-Law Distributed Samples

NeurIPS 2009 Raghu MekaPrateek JainInderjit S. Dhillon

The low-rank matrix completion problem is a fundamental problem with many important applications. Recently, Candes & Recht, Keshavan et al. and Candes & Tao obtained the first non-trivial theoretical results for the problem assuming that the observed entries are sampled uniformly at random... (read more)

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