Multiple Testing of Linear Forms for Noisy Matrix Completion

Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion. These problems, however, present unique challenges because of the subtle bias-and-variance tradeoff of and an intricate dependence among the estimated entries i...

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Bibliographische Detailangaben

Hauptverfasser:	Ma, Wanteng, Du, Lilun, Xia, Dong, Yuan, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Mathematics - Statistics Theory Statistics - Machine Learning Statistics - Methodology Statistics - Theory
Online-Zugang:	Volltext bestellen
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