conftrace_
← Core Methods
Machine Learning › Core Methods ›

Matrix Factorization

383 papers

Papers per year

11
21
28
4
'10
'15
'20
'25

Papers

Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012
Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
Matrix Completion for Multi-label Image Classification NIPS 2011
Penalty Decomposition Methods for Rank Minimization NIPS 2011
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NIPS 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Universal low-rank matrix recovery from Pauli measurements NIPS 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Learning low-rank output kernels ACML 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011