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Matrix Factorization

383 directly classified papers

Papers per year

Papers

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017
Handling Noise in Boolean Matrix Factorization IJCAI 2017
Learning User Dependencies for Recommendation IJCAI 2017
Multi-Component Nonnegative Matrix Factorization IJCAI 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Deep Matrix Factorization Models for Recommender Systems IJCAI 2017
Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017
Online Nonnegative Matrix Factorization with General Divergences AISTATS 2017
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis AISTATS 2017
Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017
Rank Determination for Low-Rank Data Completion JMLR 2017
Matrix Completion with Noisy Entries and Outliers JMLR 2017
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017
Frame-based Data Factorizations ICML 2017
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017
Partitioned Tensor Factorizations for Learning Mixed Membership Models ICML 2017
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ACL 2017
Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017
Learning Translations via Matrix Completion EMNLP 2017
Compact Matrix Factorization With Dependent Subspaces CVPR 2017
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017
Multi-view Matrix Factorization for Linear Dynamical System Estimation NIPS 2017
Optimal Shrinkage of Singular Values Under Random Data Contamination NIPS 2017