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 101–125 of 796 papers

Title	Date	Tasks	Status	Score
Modeling longitudinal data using matrix completion	Sep 24, 2018	Gaussian ProcessesMatrix Completion	CodeCode Available	5
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation	May 21, 2021	Matrix CompletionState Estimation	CodeCode Available	5
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation	Jun 12, 2025	Contrastive LearningDenoising	CodeCode Available	5
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization	Dec 3, 2015	Bayesian InferenceCollaborative Filtering	CodeCode Available	5
A Neural Network for Semigroups	Mar 12, 2021	DenoisingImage Reconstruction	CodeCode Available	5
Matrix Completion from a Few Entries	Jan 20, 2009	Matrix Completion	CodeCode Available	5
Adversarially-Trained Nonnegative Matrix Factorization	Apr 10, 2021	Dimensionality ReductionMatrix Completion	CodeCode Available	5
Matrix Completion on Graphs	Aug 7, 2014	Collaborative FilteringMatrix 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
Counterfactual inference for sequential experiments	Feb 14, 2022	counterfactualCounterfactual Inference	CodeCode Available	5
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	Dec 25, 2017	Causal InferenceConformal Prediction	CodeCode Available	5
Matrix tri-factorization over the tropical semiring	May 11, 2023	Community DetectionMatrix Completion	CodeCode Available	5
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization	Sep 9, 2020	Matrix CompletionMeta-Learning	CodeCode Available	5
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications	Sep 26, 2022	Matrix CompletionRecommendation Systems	CodeCode Available	5
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data	Nov 23, 2022	ImputationMatrix Completion	CodeCode Available	5
N^2: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion	Jun 4, 2025	BenchmarkingCausal Inference	CodeCode Available	5
Can We Predict Performance of Large Models across Vision-Language Tasks?	Oct 14, 2024	Matrix 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
A Perturbation Bound on the Subspace Estimator from Canonical Projections	Jun 28, 2022	ClusteringMatrix Completion	CodeCode Available	5
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion	Mar 22, 2021	Collaborative FilteringImputation	CodeCode Available	5
Causal Inference with Noisy and Missing Covariates via Matrix Factorization	Jun 3, 2018	Causal InferenceMatrix Completion	CodeCode Available	5
Adaptively-weighted Nearest Neighbors for Matrix Completion	May 14, 2025	counterfactualCounterfactual Inference	CodeCode Available	5
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters	May 22, 2017	Community DetectionDeep Learning	CodeCode Available	5
Online Robust Subspace Tracking from Partial Information	Sep 18, 2011	Matrix Completion	CodeCode Available	5
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections	Dec 2, 2022	Matrix Completion	CodeCode Available	5

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