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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 301–350 of 796 papers

TitleStatusHype
Estimation of Missing Data in Intelligent Transportation System—0
A new accelerated gradient method inspired by continuous-time perspective—0
Inductive Collaborative Filtering via Relation Graph Learning—0
Matrix Data Deep Decoder - Geometric Learning for Structured Data Completion—0
Outlier-robust sparse/low-rank least-squares regression and robust matrix completionCode0
Deep Learning Approach for Matrix Completion Using Manifold Learning—0
A generalised log-determinant regularizer for online semi-definite programming and its applications—0
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem—0
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices—0
Mixed Membership Graph Clustering via Systematic Edge QueryCode0
Non-Local Robust Quaternion Matrix Completion for Color Images and Videos Inpainting—0
Leveraged Matrix Completion with Noise—0
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension—0
Sparse Array Beamforming Design for Wideband Signal Models—0
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion—0
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex OptimizationCode0
Low-Rank Approximations of Nonseparable Panel Models—0
Optimum Codesign for Image Denoising Between Type-2 Fuzzy Identifier and Matrix Completion Denoiser—0
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev—0
Geometric Matrix Completion: A Functional ViewCode0
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19Code0
Recent Developments on Factor Models and its Applications in Econometric Learning—0
Meta-learning based Alternating Minimization Algorithm for Non-convex OptimizationCode0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCACode0
Clustering of Nonnegative Data and an Application to Matrix Completion—0
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle—0
Column _2,0-norm regularized factorization model of low-rank matrix recovery and its computation—0
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method—0
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion—0
Conservative Stochastic Optimization with Expectation Constraints—0
Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion—0
Autoencoder-based Graph Construction for Semi-supervised Learning—0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Partial Trace Regression and Low-Rank Kraus DecompositionCode0
Fixing Inventory Inaccuracies At Scale—0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
Median Matrix Completion: from Embarrassment to Optimality—0
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries—0
MC2G: An Efficient Algorithm for Matrix Completion with Social and Item Similarity Graphs—0
Discrete-Aware Matrix Completion via Proximal Gradient—0
Tensor Completion Made Practical—0
Robust Matrix Completion with Mixed Data Types—0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data—0
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold—0
Low-rank matrix completion theory via Plucker coordinates—0
Ocean Reverberation Suppression via Matrix Completion with Sensor Failure—0
Orthogonal Inductive Matrix Completion—0
Nonconvex Matrix Completion with Linearly Parameterized Factors—0
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations—0
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