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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 101–125 of 796 papers

TitleStatusHype
Bayesian Learning for Low-Rank matrix reconstruction—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion—0
Bayesian matrix completion: prior specification—0
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
Binary Matrix Completion Using Unobserved Entries—0
Binary matrix completion with nonconvex regularizers—0
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering—0
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data—0
A Riemannian gossip approach to decentralized matrix completion—0
Boolean Matrix Factorization and Noisy Completion via Message Passing—0
Bounded Manifold Completion—0
Low-rank matrix completion theory via Plucker coordinates—0
Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning—0
Calibrated Elastic Regularization in Matrix Completion—0
A Fast Matrix-Completion-Based Approach for Recommendation Systems—0
Categorical Matrix Completion—0
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction—0
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy—0
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing—0
Adaptive Noisy Matrix Completion—0
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients—0
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