← Core Methods
Machine Learning › Core Methods ›

Matrix Factorization

383 directly classified papers

Papers per year

Papers

Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015
Completing Any Low-rank Matrix, Provably JMLR 2015
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion JMLR 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
Semantic Component Analysis ICCV 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015
Alternating Co-Quantization for Cross-Modal Hashing ICCV 2015
An NMF Perspective on Binary Hashing ICCV 2015
Sparse and Low-Rank Tensor Decomposition NIPS 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015
Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares JMLR 2015
On the Minimal Problems of Low-Rank Matrix Factorization CVPR 2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization CVPR 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization CVPR 2015
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees ICML 2015
Fast Exact Matrix Completion with Finite Samples COLT 2015
Orthogonal NMF through Subspace Exploration NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Latent Gaussian Models for Topic Modeling AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014
Provable Tensor Factorization with Missing Data NIPS 2014