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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
Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions—0
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0—0
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMCode0
Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation—0
The heterogeneous impact of the EU-Canada agreement with causal machine learning—0
Optimized Waveform Design for OFDM-based ISAC Systems Under Limited Resource Occupancy—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
Proximal Interacting Particle Langevin AlgorithmsCode0
Demystifying Language Model Forgetting with Low-rank Example Associations—0
Learning Translations via Matrix Completion—0
Learning Iterative Reasoning through Energy Diffusion—0
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical PropertiesCode0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—0
Structured Learning of Compositional Sequential InterventionsCode0
Symmetric Matrix Completion with ReLU Sampling—0
Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model—0
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & AdaptationCode1
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion AlgorithmsCode2
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
Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image InpaintingCode1
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling—0
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data—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
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