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Matrix Completion

Matrix Completion is a method for recovering lost information. It originates from machine learning and usually deals with highly sparse matrices. Missing or unknown data is estimated using the low-rank matrix of the known data.

Source: A Fast Matrix-Completion-Based Approach for Recommendation Systems

Papers

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Showing 751–775 of 796 papers

TitleStatusHype
Matrix Completion from a Few EntriesCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm AssumptionCode0
Inductive Matrix Completion: No Bad Local Minima and a Fast AlgorithmCode0
Bayesian graph convolutional neural networks for semi-supervised classificationCode0
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditionsCode0
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical PropertiesCode0
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel FactorizationCode0
Matrix Completion from Noisy EntriesCode0
Mixed Membership Graph Clustering via Systematic Edge QueryCode0
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes FlowCode0
Provable Subspace Tracking from Missing Data and Matrix CompletionCode0
Interference-Aware Edge Runtime Prediction with Conformal Matrix CompletionCode0
Robust Matrix Completion for Discrete Rating-Scale DataCode0
Faster Matrix Completion Using Randomized SVDCode0
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex MinimizationCode0
Structured Learning of Compositional Sequential InterventionsCode0
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine LearningCode0
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completionCode0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Fast Low-Rank Matrix Learning with Nonconvex RegularizationCode0
A Neural Network for SemigroupsCode0
Matrix Completion in the Unit Hypercube via Structured Matrix FactorizationCode0
Unlabeled Principal Component Analysis and Matrix CompletionCode0
Matrix Completion on GraphsCode0
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