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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 326–350 of 796 papers

TitleStatusHype
Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank—0
Concentration of tempered posteriors and of their variational approximations—0
A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization—0
Implicit Regularization in Deep Tensor Factorization—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion—0
A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic Data Recovery—0
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems—0
Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization—0
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks—0
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting—0
Adaptive Noisy Matrix Completion—0
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction—0
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images—0
Graph-Based Matrix Completion Applied to Weather Data—0
Computing large market equilibria using abstractions—0
Individualized Rank Aggregation using Nuclear Norm Regularization—0
Inductive Collaborative Filtering via Relation Graph Learning—0
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Going off the Grid: Iterative Model Selection for Biclustered Matrix Completion—0
Computational Limits for Matrix Completion—0
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
Computational Graph Completion—0
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