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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 501–525 of 796 papers

TitleStatusHype
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms—0
Indian Regional Movie Dataset for Recommender SystemsCode0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Differentially Private Matrix Completion Revisited—0
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic ControlsCode0
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion—0
A New Theory for Matrix Completion—0
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation—0
Matrix Norm Estimation from a Few EntriesCode0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution—0
Sparse Inverse Covariance Estimation for Chordal Structures—0
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural NetworksCode0
A two-dimensional decomposition approach for matrix completion through gossip—0
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA—0
Background Subtraction via Fast Robust Matrix Completion—0
Sequential Matrix Completion—0
Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization—0
SweetRS: Dataset for a recommender systems of sweetsCode0
Low Permutation-rank Matrices: Structural Properties and Noisy Completion—0
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective—0
Robust Task Clustering for Deep Many-Task Learning—0
VIGAN: Missing View Imputation with Generative Adversarial NetworksCode0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
Nearly Optimal Robust Matrix Completion—0
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers—0
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