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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 601–625 of 796 papers

TitleStatusHype
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates—0
Probabilistic low-rank matrix completion on finite alphabets—0
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms—0
Prognostics of Surgical Site Infections using Dynamic Health Data—0
Progresses and Challenges in Link Prediction—0
Transductive Matrix Completion with Calibration for Multi-Task Learning—0
Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing—0
Projection-Free Algorithm for Stochastic Bi-level Optimization—0
Projection-Free Bandit Convex Optimization—0
Propagation Map Reconstruction via Interpolation Assisted Matrix Completion—0
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent—0
Provable Inductive Matrix Completion—0
Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers—0
Provable Non-linear Inductive Matrix Completion—0
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization—0
Triple Simplex Matrix Completion for Expense Forecasting—0
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization—0
Pseudo-Bayesian Robust PCA: Algorithms and Analyses—0
PU Learning for Matrix Completion—0
Quantized Matrix Completion for Personalized Learning—0
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery—0
Quaternion Matrix Completion Using Untrained Quaternion Convolutional Neural Network for Color Image Inpainting—0
Quaternion Optimized Model with Sparse Regularization for Color Image Recovery—0
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion—0
Scalable and Robust Community Detection with Randomized Sketching—0
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