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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 101–150 of 158 papers

TitleStatusHype
Recovery of damped exponentials using structured low rank matrix completion—0
Reflection Removal Using Low-Rank Matrix Completion—0
Relaxed Leverage Sampling for Low-rank Matrix Completion—0
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey—0
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees—0
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold—0
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis—0
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method—0
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer—0
Robust Matrix Completion with Heavy-tailed Noise—0
RTRMC: A Riemannian trust-region method for low-rank matrix completion—0
Scaled Gradients on Grassmann Manifolds for Matrix Completion—0
Scaled stochastic gradient descent for low-rank matrix completion—0
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts—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
Weighted Low Rank Matrix Approximation and Acceleration—0
Abrupt Learning in Transformers: A Case Study on Matrix Completion—0
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM—0
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion—0
Adaptive Noisy Matrix Completion—0
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees—0
A divide-and-conquer algorithm for binary matrix completion—0
Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion—0
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
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction—0
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization—0
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion—0
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion—0
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm—0
Low-rank matrix completion theory via Plucker coordinates—0
An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion—0
A Pre-training Oracle for Predicting Distances in Social Networks—0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making—0
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