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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 701–725 of 796 papers

TitleStatusHype
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion—0
Sequential Matrix Completion—0
A new accelerated gradient method inspired by continuous-time perspective—0
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm—0
A New Theory for Matrix Completion—0
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements—0
Low-rank matrix completion theory via Plucker coordinates—0
An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion—0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
Signal Recovery on Graphs: Variation Minimization—0
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing—0
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing—0
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems—0
A Note on Alternating Minimization Algorithm for the Matrix Completion Problem—0
A note on the statistical view of matrix completion—0
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
A Novel Two-Step Method for Cross Language Representation Learning—0
1-Bit Matrix Completion under Exact Low-Rank Constraint—0
Approximate matrix completion based on cavity method—0
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior—0
Approximating Concavely Parameterized Optimization Problems—0
A Pre-training Oracle for Predicting Distances in Social Networks—0
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
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