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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
NGS Based Haplotype Assembly Using Matrix CompletionCode0
NoisyCUR: An algorithm for two-cost budgeted matrix completionCode0
Forecasting Algorithms for Causal Inference with Panel DataCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
A Neural Network for SemigroupsCode0
GNMR: A provable one-line algorithm for low rank matrix recoveryCode0
Adversarially-Trained Nonnegative Matrix FactorizationCode0
Online Robust Subspace Tracking from Partial InformationCode0
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix CompletionCode0
Outlier-robust sparse/low-rank least-squares regression and robust matrix completionCode0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
Preference Completion: Large-scale Collaborative Ranking from Pairwise ComparisonsCode0
Proximal Interacting Particle Langevin AlgorithmsCode0
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and ApplicationsCode0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCACode0
Robust Matrix Completion for Discrete Rating-Scale DataCode0
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
Doubly robust nearest neighbors in factor modelsCode0
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient DescentCode0
Causal Inference with Noisy and Missing Covariates via Matrix FactorizationCode0
Dictionary Learning for Massive Matrix FactorizationCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Collective Matrix CompletionCode0
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender SystemsCode0
State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual PredictionCode0
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient RegularizationCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
Spectral Geometric Matrix CompletionCode0
Collaborative Filtering with Graph Information: Consistency and Scalable MethodsCode0
Deep Models of Interactions Across SetsCode0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise ConsistencyCode0
Counterfactual inference for sequential experimentsCode0
Adaptive Matrix Completion for the Users and the Items in TailCode0
Adaptively-weighted Nearest Neighbors for Matrix CompletionCode0
A Perturbation Bound on the Subspace Estimator from Canonical ProjectionsCode0
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power InjectionsCode0
A Gradient Descent Algorithm on the Grassman Manifold for Matrix CompletionCode0
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein SpaceCode0
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory DataCode0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes FlowCode0
Faster Matrix Completion Using Randomized SVDCode0
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale DatasetCode0
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19Code0
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural NetworksCode0
Implicit Regularization in Deep Matrix FactorizationCode0
Matrix Norm Estimation from a Few EntriesCode0
Training Complex Models with Multi-Task Weak SupervisionCode0
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