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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 51–100 of 796 papers

TitleStatusHype
Low-Rank Hankel Tensor Completion for Traffic Speed EstimationCode0
Matrix Completion from a Few EntriesCode0
Adversarially-Trained Nonnegative Matrix FactorizationCode0
Low-Rank Inducing Norms with Optimality InterpretationsCode0
Meta-learning based Alternating Minimization Algorithm for Non-convex OptimizationCode0
Matrix Completion from Noisy EntriesCode0
Matrix Completion on GraphsCode0
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU functionCode0
Implicit Regularization in Deep Matrix FactorizationCode0
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR SamplingCode0
Matrix Low-Rank Approximation For Policy Gradient MethodsCode0
Matrix Low-Rank Trust Region Policy OptimizationCode0
Hybrid Recommender System based on AutoencodersCode0
Implicit Regularization in Tensor FactorizationCode0
GNMR: A provable one-line algorithm for low rank matrix recoveryCode0
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal SchemaCode0
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form SolutionCode0
Imputation and low-rank estimation with Missing Not At Random dataCode0
Fast Low-Rank Matrix Learning with Nonconvex RegularizationCode0
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes FlowCode0
Forecasting Algorithms for Causal Inference with Panel DataCode0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCACode0
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory DataCode0
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient DescentCode0
Indian Regional Movie Dataset for Recommender SystemsCode0
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19Code0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient RegularizationCode0
Deep Models of Interactions Across SetsCode0
Spectral Geometric Matrix CompletionCode0
Algebraic Variety Models for High-Rank Matrix CompletionCode0
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale DatasetCode0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural NetworksCode0
Faster Matrix Completion Using Randomized SVDCode0
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex MinimizationCode0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Geometric Matrix Completion: A Functional ViewCode0
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power InjectionsCode0
Dictionary Learning for Massive Matrix FactorizationCode0
Guaranteed Rank Minimization via Singular Value ProjectionCode0
High resolution neural connectivity from incomplete tracing data using nonnegative spline regressionCode0
Collaborative Filtering with Graph Information: Consistency and Scalable MethodsCode0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
A Gradient Descent Algorithm on the Grassman Manifold for Matrix CompletionCode0
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical PropertiesCode0
Collective Matrix CompletionCode0
A Perturbation Bound on the Subspace Estimator from Canonical ProjectionsCode0
Adaptive Matrix Completion for the Users and the Items in TailCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
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