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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 76–100 of 796 papers

Title	Date	Tasks	Status	Score
A regularized deep matrix factorized model of matrix completion for image restoration	Jul 29, 2020	Image RestorationMatrix Completion	CodeCode Available	5
Deep Collective Matrix Factorization for Augmented Multi-View Learning	Nov 28, 2018	Bayesian OptimizationMatrix Completion	CodeCode Available	5
Spectral Geometric Matrix Completion	Nov 17, 2019	Matrix CompletionRecommendation Systems	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
Counterfactual inference for sequential experiments	Feb 14, 2022	counterfactualCounterfactual Inference	CodeCode Available	5
Algebraic Variety Models for High-Rank Matrix Completion	Mar 28, 2017	ClusteringLow-Rank Matrix Completion	CodeCode Available	5
Distant Supervision for Relation Extraction with Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data	Nov 6, 2024	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections	Dec 2, 2022	Matrix Completion	CodeCode Available	5
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent	Feb 1, 2025	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
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization	Feb 26, 2022	ClusteringMatrix Completion	CodeCode Available	5
Fast Low-Rank Matrix Learning with Nonconvex Regularization	Dec 3, 2015	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
A Unified Framework for Structured Low-rank Matrix Learning	Jul 1, 2018	Matrix CompletionMulti-Task Learning	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
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters	May 22, 2017	Community DetectionDeep Learning	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
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution	Feb 8, 2023	FormMatrix Completion	CodeCode Available	5
Collaborative Filtering with Graph Information: Consistency and Scalable Methods	Dec 1, 2015	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
Adaptively-weighted Nearest Neighbors for Matrix Completion	May 14, 2025	counterfactualCounterfactual Inference	CodeCode Available	5
Imputation and low-rank estimation with Missing Not At Random data	Dec 29, 2018	ImputationMatrix Completion	CodeCode Available	5
Collective Matrix Completion	Jul 24, 2018	Matrix Completion	CodeCode Available	5
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications	Sep 26, 2022	Matrix CompletionRecommendation Systems	CodeCode Available	5

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