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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 101–150 of 796 papers

TitleStatusHype
Online Robust Subspace Tracking from Partial InformationCode0
On Low-rank Trace Regression under General Sampling DistributionCode0
Geometric Matrix Completion: A Functional ViewCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
A Neural Network for SemigroupsCode0
Provable Low Rank Phase RetrievalCode0
Adversarially-Trained Nonnegative Matrix FactorizationCode0
Preference Completion: Large-scale Collaborative Ranking from Pairwise ComparisonsCode0
Proximal Interacting Particle Langevin AlgorithmsCode0
Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix CompletionCode0
Forecasting Algorithms for Causal Inference with Panel DataCode0
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal SchemaCode0
High resolution neural connectivity from incomplete tracing data using nonnegative spline regressionCode0
Indian Regional Movie Dataset for Recommender SystemsCode0
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes FlowCode0
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient DescentCode0
Can We Predict Performance of Large Models across Vision-Language Tasks?Code0
An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU functionCode0
Faster Matrix Completion Using Randomized SVDCode0
Structured Learning of Compositional Sequential InterventionsCode0
Causal Inference with Noisy and Missing Covariates via Matrix FactorizationCode0
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory DataCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Collective Matrix CompletionCode0
Unlabeled Principal Component Analysis and Matrix CompletionCode0
Unsupervised Metric Learning in Presence of Missing DataCode0
Dictionary Learning for Massive Matrix FactorizationCode0
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex MinimizationCode0
Collaborative Filtering with Graph Information: Consistency and Scalable MethodsCode0
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19Code0
Spectral Geometric Matrix CompletionCode0
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise ConsistencyCode0
Deep Models of Interactions Across SetsCode0
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient RegularizationCode0
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale DatasetCode0
Adaptive Matrix Completion for the Users and the Items in TailCode0
A Perturbation Bound on the Subspace Estimator from Canonical ProjectionsCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
A Gradient Descent Algorithm on the Grassman Manifold for Matrix CompletionCode0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCACode0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural NetworksCode0
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power InjectionsCode0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Fast Low-Rank Matrix Learning with Nonconvex RegularizationCode0
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataCode0
Clipped Matrix Completion: A Remedy for Ceiling Effects—0
Characterization of the equivalence of robustification and regularization in linear and matrix regression—0
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
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