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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

Showing 2650 of 796 papers

TitleStatusHype
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)Code1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Inductive Matrix Completion Based on Graph Neural NetworksCode1
SAVOIAS: A Diverse, Multi-Category Visual Complexity DatasetCode1
OBOE: Collaborative Filtering for AutoML Model SelectionCode1
k-Space Deep Learning for Accelerated MRICode1
Graph Convolutional Matrix CompletionCode1
Geometric Matrix Completion with Recurrent Multi-Graph Neural NetworksCode1
Matrix Completion and Low-Rank SVD via Fast Alternating Least SquaresCode1
Generalized Low Rank ModelsCode1
New Hardness Results for Low-Rank Matrix Completion0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
N^2: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix CompletionCode0
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models0
Optimal Transport with Heterogeneously Missing Data0
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees0
Adaptively-weighted Nearest Neighbors for Matrix CompletionCode0
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent0
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization0
Truncated Matrix Completion - An Empirical Study0
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach0
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU functionCode0
Depth-Aided Color Image Inpainting in Quaternion Domain0
Fast Two-photon Microscopy by Neuroimaging with Oblong Random Acquisition (NORA)0
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems0
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