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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
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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