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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 301–350 of 796 papers

TitleStatusHype
Graph-Based Matrix Completion Applied to Weather Data—0
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images—0
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids—0
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction—0
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift—0
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients—0
Guaranteed Matrix Completion Under Multiple Linear Transformations—0
Guaranteed Matrix Completion via Non-convex Factorization—0
Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects—0
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension—0
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion—0
Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables—0
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures—0
High Dimensional Factor Analysis with Weak Factors—0
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization—0
High-dimensional Time Series Prediction with Missing Values—0
High-Rank Matrix Completion and Clustering under Self-Expressive Models—0
Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation—0
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers—0
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion—0
Identifying global optimality for dictionary learning—0
Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion—0
IHT-Inspired Neural Network for Single-Snapshot DOA Estimation with Sparse Linear Arrays—0
Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion—0
Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank—0
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent—0
A Sequence-Aware Recommendation Method Based on Complex Networks—0
Implicit Regularization in Deep Tensor Factorization—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion—0
Convolutional Geometric Matrix Completion—0
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems—0
Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization—0
Inference and Uncertainty Quantification for Noisy Matrix Completion—0
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting—0
Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees—0
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction—0
Coherence and sufficient sampling densities for reconstruction in compressed sensing—0
Incoherence-Optimal Matrix Completion—0
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size—0
Individualized Rank Aggregation using Nuclear Norm Regularization—0
Inductive Collaborative Filtering via Relation Graph Learning—0
A note on the statistical view of matrix completion—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
CUR Algorithm with Incomplete Matrix Observation—0
Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution—0
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier—0
Fast Dual-Regularized Autoencoder for Sparse Biological Data—0
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev—0
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