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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 201–250 of 796 papers

TitleStatusHype
Optimal (0,1)-Matrix Completion with Majorization Ordered Objectives (To the memory of Pravin Varaiya)—0
Online Low Rank Matrix Completion—0
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems—0
Partial Matrix Completion—0
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix CompletionCode0
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR SamplingCode0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic Data Recovery—0
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing—0
Forecasting Algorithms for Causal Inference with Panel DataCode0
Propagation Map Reconstruction via Interpolation Assisted Matrix Completion—0
SP2: A Second Order Stochastic Polyak Method—0
A Perturbation Bound on the Subspace Estimator from Canonical ProjectionsCode0
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids—0
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Introducing the Huber mechanism for differentially private low-rank matrix completion—0
Robust Matrix Completion with Heavy-tailed Noise—0
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
Quaternion Optimized Model with Sparse Regularization for Color Image Recovery—0
MultiEarth 2022 -- Multimodal Learning for Earth and Environment Workshop and Challenge—0
Survey of Matrix Completion Algorithms—0
Matrix Completion with Sparse Noisy Rows—0
Matrix Completion with Heterogonous Cost—0
Perturbation Analysis of Randomized SVD and its Applications to Statistics—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables—0
Adaptive Noisy Matrix Completion—0
Lifelong Matrix Completion with Sparsity-Number—0
Flat minima generalize for low-rank matrix recovery—0
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning—0
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization—0
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex MinimizationCode0
Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects—0
Two-snapshot DOA Estimation via Hankel-structured Matrix Completion—0
Splitting numerical integration for matrix completion—0
Counterfactual inference for sequential experimentsCode0
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss—0
Inductive Matrix Completion: No Bad Local Minima and a Fast AlgorithmCode0
LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion—0
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing—0
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion—0
Matrix Completion with Hierarchical Graph Side Information—0
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares—0
A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective—0
Fine-grained Generalization Analysis of Inductive Matrix Completion—0
PAC-Bayesian matrix completion with a spectral scaled Student prior—0
Efficient Low-Rank Matrix Factorization based on l1,ε-norm for Online Background Subtraction—0
Nonnegative Tensor Completion via Integer OptimizationCode0
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers—0
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