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 51–75 of 796 papers

Title	Date	Tasks	Status	Score
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema	Jun 18, 2016	Matrix Completion	CodeCode Available	5
GNMR: A provable one-line algorithm for low rank matrix recovery	Jun 24, 2021	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA	Sep 4, 2020	Collaborative FilteringMatrix Completion	CodeCode Available	5
Geometric Matrix Completion: A Functional View	Sep 29, 2020	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
Distant Supervision for Relation Extraction with Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
Guaranteed Rank Minimization via Singular Value Projection	Sep 30, 2009	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	5
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function	Mar 31, 2025	Data CompressionMath	CodeCode Available	5
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization	Oct 23, 2020	Matrix Completion	CodeCode Available	5
Dictionary Learning for Massive Matrix Factorization	May 3, 2016	Collaborative FilteringDictionary Learning	CodeCode Available	5
Implicit Regularization in Deep Matrix Factorization	May 31, 2019	Matrix Completion	CodeCode Available	5
Implicit Regularization in Tensor Factorization	Feb 19, 2021	Deep LearningMatrix 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
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19	Sep 22, 2020	Matrix 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
Algebraic Variety Models for High-Rank Matrix Completion	Mar 28, 2017	ClusteringLow-Rank Matrix Completion	CodeCode Available	5
Deep Models of Interactions Across Sets	Mar 7, 2018	Collaborative FilteringMatrix 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
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
Deep Collective Matrix Factorization for Augmented Multi-View Learning	Nov 28, 2018	Bayesian OptimizationMatrix Completion	CodeCode Available	5
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections	Dec 2, 2022	Matrix Completion	CodeCode Available	5
Collective Matrix Completion	Jul 24, 2018	Matrix Completion	CodeCode Available	5
Collaborative Filtering with Graph Information: Consistency and Scalable Methods	Dec 1, 2015	Collaborative FilteringLow-Rank 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
Can We Predict Performance of Large Models across Vision-Language Tasks?	Oct 14, 2024	Matrix Completion	CodeCode Available	5

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