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Low-Rank Matrix Completion

Low-Rank Matrix Completion is an important problem with several applications in areas such as recommendation systems, sketching, and quantum tomography. The goal in matrix completion is to recover a low rank matrix, given a small number of entries of the matrix.

Source: Universal Matrix Completion

Papers

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Showing 131–140 of 158 papers

Title	Date	Tasks	Status
Probabilistic low-rank matrix completion on finite alphabets	Dec 8, 2014	Dimensionality ReductionLow-Rank Matrix Completion	—Unverified
Errata: Distant Supervision for Relation Extraction with Matrix Completion	Nov 17, 2014	ClassificationGeneral Classification	—Unverified
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees	Aug 31, 2014	Low-Rank Matrix CompletionMatrix Completion	—Unverified
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction	Jun 11, 2014	Computational EfficiencyLow-Rank Matrix Completion	—Unverified
Distant Supervision for Relation Extraction with Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available
Depth Enhancement via Low-rank Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	—Unverified
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness	Apr 17, 2014	Low-Rank Matrix CompletionMatrix Completion	—Unverified
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion	Apr 4, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available
Universal Matrix Completion	Feb 10, 2014	Low-Rank Matrix CompletionMatrix Completion	—Unverified
Phase transitions and sample complexity in Bayes-optimal matrix factorization	Feb 6, 2014	blind source separationDictionary Learning	—Unverified

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