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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 101–150 of 796 papers

TitleStatusHype
Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model—0
Matrix Low-Rank Trust Region Policy OptimizationCode0
Matrix Low-Rank Approximation For Policy Gradient MethodsCode0
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion—0
The radius of statistical efficiency—0
Subspace-Informed Matrix Completion—0
Efficient Federated Low Rank Matrix Completion—0
Discrete Aware Matrix Completion via Convexized _0-Norm Approximation—0
Online Policy Learning and Inference by Matrix Completion—0
Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems—0
Concentration properties of fractional posterior in 1-bit matrix completion—0
Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion—0
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information—0
Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks—0
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel FactorizationCode0
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction: An Extended Version—0
Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion—0
Power-Flow-Embedded Projection Conic Matrix Completion for Low-Observable Distribution Systems—0
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks—0
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data—0
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling—0
Discovering Abstract Symbolic Relations by Learning Unitary Group Representations—0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
Doubly Robust Inference in Causal Latent Factor Models—0
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion—0
High Dimensional Factor Analysis with Weak Factors—0
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Fast Dual-Regularized Autoencoder for Sparse Biological Data—0
On the Robustness of Cross-Concentrated Sampling for Matrix Completion—0
Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms—0
Effect of Beampattern on Matrix Completion with Sparse Arrays—0
Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems—0
Misclassification excess risk bounds for 1-bit matrix completion—0
Waveform Design for OFDM-based ISAC Systems Under Resource Occupancy Constraint—0
Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion—0
Multiple Testing of Linear Forms for Noisy Matrix Completion—0
Iterative missing value imputation based on feature importance—0
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion—0
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints—0
Triple Simplex Matrix Completion for Expense Forecasting—0
A framework to generate sparsity-inducing regularizers for enhanced low-rank matrix completion—0
Robust matrix completion via Novel M-estimator Functions—0
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer—0
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI—0
IHT-Inspired Neural Network for Single-Snapshot DOA Estimation with Sparse Linear Arrays—0
L_2,1-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition—0
Widely Separated MIMO Radar Using Matrix Completion—0
Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across DisciplinesCode0
Matrix Completion in Almost-Verification Time—0
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