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Low-Rank Matrix Completion

Low-Rank Matrix Completion is an important problem with several applications in areas such as recommendation systems, sketching, and quantum tomography. The goal in matrix completion is to recover a low rank matrix, given a small number of entries of the matrix.

Source: Universal Matrix Completion

Papers

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Showing 51–100 of 158 papers

TitleStatusHype
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness—0
A framework to generate sparsity-inducing regularizers for enhanced low-rank matrix completion—0
Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability—0
Sparse Array Beamformer Design for Active and Passive Sensing—0
Sparse Group Inductive Matrix Completion—0
Static and Dynamic Robust PCA and Matrix Completion: A Review—0
Structured low-rank matrix completion for forecasting in time series analysis—0
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks—0
Symmetric Matrix Completion with ReLU Sampling—0
Symmetric Tensor Completion from Multilinear Entries and Learning Product Mixtures over the Hypercube—0
Tensor Methods for Nonlinear Matrix Completion—0
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion—0
Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis—0
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion—0
Truncated Matrix Completion - An Empirical Study—0
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise—0
Universal Matrix Completion—0
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion—0
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion—0
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling—0
Errata: Distant Supervision for Relation Extraction with Matrix Completion—0
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion—0
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent—0
Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-rank Matrix Completion—0
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery—0
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size—0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
Fixed-rank matrix factorizations and Riemannian low-rank optimization—0
Fusion Subspace Clustering: Full and Incomplete Data—0
Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation—0
Graph-Based Matrix Completion Applied to Weather Data—0
Guaranteed Matrix Completion Under Multiple Linear Transformations—0
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion—0
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization—0
High-Rank Matrix Completion and Clustering under Self-Expressive Models—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
Introducing the Huber mechanism for differentially private low-rank matrix completion—0
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion—0
Learning Transition Operators From Sparse Space-Time Samples—0
Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions—0
Simple Heuristics Yield Provable Algorithms for Masked Low-Rank Approximation—0
Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity—0
Low-rank matrix completion and denoising under Poisson noise—0
Low rank matrix completion and realization of graphs: results and problems—0
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time—0
Low Rank Matrix Completion with Exponential Family Noise—0
Low-rank optimization with trace norm penalty—0
Low-tubal-rank Tensor Completion using Alternating Minimization—0
Manopt, a Matlab toolbox for optimization on manifolds—0
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