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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
Matrix Completion from General Deterministic Sampling Patterns—0
Matrix Completion from Power-Law Distributed Samples—0
Matrix Completion in Almost-Verification Time—0
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes—0
Nearly-optimal Robust Matrix Completion—0
Nearly Optimal Robust Matrix Completion—0
New Hardness Results for Low-Rank Matrix Completion—0
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization—0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—0
Non-Convex Optimizations for Machine Learning with Theoretical Guarantee: Robust Matrix Completion and Neural Network Learning—0
Norm-Bounded Low-Rank Adaptation—0
Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series—0
Nuclear norm penalization and optimal rates for noisy low rank matrix completion—0
Obtaining error-minimizing estimates and universal entry-wise error bounds for low-rank matrix completion—0
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion—0
Online Low Rank Matrix Completion—0
Online Matrix Completion: A Collaborative Approach with Hott Items—0
Online Matrix Completion and Online Robust PCA—0
Disjunctive Branch-And-Bound for Certifiably Optimal Low-Rank Matrix Completion—0
Optimum Codesign for Image Denoising Between Type-2 Fuzzy Identifier and Matrix Completion Denoiser—0
Phase transitions and sample complexity in Bayes-optimal matrix factorization—0
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization—0
Probabilistic low-rank matrix completion on finite alphabets—0
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms—0
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion—0
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion—0
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders—0
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
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning DynamicsCode0
Guaranteed Rank Minimization via Singular Value ProjectionCode0
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient RegularizationCode0
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transportCode0
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory DataCode0
Algebraic Variety Models for High-Rank Matrix CompletionCode0
Mixed Membership Graph Clustering via Systematic Edge QueryCode0
A Gradient Descent Algorithm on the Grassman Manifold for Matrix CompletionCode0
Adaptive Matrix Completion for the Users and the Items in TailCode0
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