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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 726–750 of 796 papers

TitleStatusHype
Matrix Norm Estimation from a Few EntriesCode0
Matrix tri-factorization over the tropical semiringCode0
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMCode0
Graphon Estimation from Partially Observed Network DataCode0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCACode0
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient DescentCode0
Implicit Regularization in Deep Matrix FactorizationCode0
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine LearningCode0
Preference Completion: Large-scale Collaborative Ranking from Pairwise ComparisonsCode0
Riemannian stochastic variance reduced gradient on Grassmann manifoldCode0
Implicit Regularization in Tensor FactorizationCode0
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex OptimizationCode0
Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across DisciplinesCode0
Meta-learning based Alternating Minimization Algorithm for Non-convex OptimizationCode0
Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix CompletionCode0
Imputation and low-rank estimation with Missing Not At Random dataCode0
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power InjectionsCode0
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural NetworksCode0
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transportCode0
Nonnegative Tensor Completion via Integer OptimizationCode0
Indian Regional Movie Dataset for Recommender SystemsCode0
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and ApplicationsCode0
Training Complex Models with Multi-Task Weak SupervisionCode0
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