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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 151–175 of 796 papers

TitleStatusHype
Optimal Algorithms for Latent Bandits with Cluster Structure—0
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery—0
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization—0
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings—0
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power InjectionsCode0
Learning Transition Operators From Sparse Space-Time Samples—0
Doubly robust nearest neighbors in factor models—0
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataCode0
Efficient Rigid Body Localization based on Euclidean Distance Matrix Completion for AGV Positioning under Harsh Environment—0
Low Rank Quaternion Matrix Completion Based on Quaternion QR Decomposition and Sparse Regularizer—0
Always Valid Risk Monitoring for Online Matrix Completion—0
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise ConsistencyCode0
Hyperparameter optimization in deep multi-target predictionCode1
Deep Linear Networks for Matrix Completion -- An Infinite Depth Limit—0
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction—0
A Sequence-Aware Recommendation Method Based on Complex Networks—0
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and ApplicationsCode0
Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Synthesis of Sparse Linear Arrays via Low-Rank Hankel Matrix Completion—0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation—0
Optimal (0,1)-Matrix Completion with Majorization Ordered Objectives (To the memory of Pravin Varaiya)—0
Online Low Rank Matrix Completion—0
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems—0
Partial Matrix Completion—0
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