Robust Recommendation via Social Network Enhanced Matrix Completion
From MaRDI portal
Publication:6086157
DOI10.5705/ss.202020.0243WikidataQ114013834 ScholiaQ114013834MaRDI QIDQ6086157
Jingxuan Wang, Fei Jiang, Haipeng Shen
Publication date: 9 November 2023
Published in: Statistica Sinica (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A limit theorem for scaled eigenvectors of random dot product graphs
- Spectra of edge-independent random graphs
- Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
- A shrinkage principle for heavy-tailed data: high-dimensional robust low-rank matrix recovery
- Limit theorems for eigenvectors of the normalized Laplacian for random graphs
- Robust low-rank matrix estimation
- Generalized high-dimensional trace regression via nuclear norm regularization
- Consistency of spectral clustering in stochastic block models
- Noisy low-rank matrix completion with general sampling distribution
- Eigenvalue Ratio Test for the Number of Factors
- A Singular Value Thresholding Algorithm for Matrix Completion
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Inference and missing data
- Asymptotic properties of the maximum-likelihood estimator in zero-inflated binomial regression
- A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
- Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
- Matrix Completion under Low-Rank Missing Mechanism
- Matrix Completion With Covariate Information
- Regularization and Variable Selection Via the Elastic Net
- A Simpler Approach to Matrix Completion
- Statistical significance of the Netflix challenge
This page was built for publication: Robust Recommendation via Social Network Enhanced Matrix Completion