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 126–150 of 796 papers

Title	Date	Tasks	Status	Score
Unsupervised Metric Learning in Presence of Missing Data	Jul 19, 2018	Dimensionality ReductionMatrix Completion	CodeCode Available	5
Dictionary Learning for Massive Matrix Factorization	May 3, 2016	Collaborative FilteringDictionary Learning	CodeCode Available	5
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization	Feb 26, 2022	ClusteringMatrix Completion	CodeCode Available	5
Collaborative Filtering with Graph Information: Consistency and Scalable Methods	Dec 1, 2015	Collaborative FilteringLow-Rank Matrix Completion	CodeCode Available	5
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19	Sep 22, 2020	Matrix Completion	CodeCode Available	5
Spectral Geometric Matrix Completion	Nov 17, 2019	Matrix CompletionRecommendation Systems	CodeCode Available	5
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency	Nov 17, 2022	Collaborative FilteringMatrix Completion	CodeCode Available	5
Deep Models of Interactions Across Sets	Mar 7, 2018	Collaborative FilteringMatrix Completion	CodeCode Available	5
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization	Apr 20, 2016	Image InpaintingLow-Rank Matrix Completion	CodeCode Available	5
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset	Nov 4, 2015	Matrix Completion	CodeCode Available	5
Adaptive Matrix Completion for the Users and the Items in Tail	Apr 22, 2019	Collaborative FilteringLow-Rank Matrix Completion	CodeCode Available	5
A Perturbation Bound on the Subspace Estimator from Canonical Projections	Jun 28, 2022	ClusteringMatrix Completion	CodeCode Available	5
Distant Supervision for Relation Extraction with Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion	Oct 27, 2009	Collaborative FilteringLow-Rank Matrix Completion	CodeCode Available	5
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA	Sep 4, 2020	Collaborative FilteringMatrix Completion	CodeCode Available	5
Deep Collective Matrix Factorization for Augmented Multi-View Learning	Nov 28, 2018	Bayesian OptimizationMatrix Completion	CodeCode Available	5
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks	Nov 23, 2017	Matrix CompletionMultivariate Time Series Imputation	CodeCode Available	5
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections	Dec 2, 2022	Matrix Completion	CodeCode Available	5
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation	Jun 12, 2025	Contrastive LearningDenoising	CodeCode Available	5
Fast Low-Rank Matrix Learning with Nonconvex Regularization	Dec 3, 2015	Matrix Completion	CodeCode Available	5
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data	Nov 23, 2022	ImputationMatrix Completion	CodeCode Available	5
Clipped Matrix Completion: A Remedy for Ceiling Effects	Sep 13, 2018	Matrix CompletionRecommendation Systems	—Unverified	0
Characterization of the equivalence of robustification and regularization in linear and matrix regression	Nov 22, 2014	Matrix Completionregression	—Unverified	0
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems	May 18, 2017	Matrix Completion	—Unverified	0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS	Jan 1, 2018	Community DetectionDeep Learning	—Unverified	0

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