Matrix Factorization

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012 A Simpler Approach to Matrix Completion JMLR 2011 Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Learning low-rank output kernels ACML 2011 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 Minimax Algorithm for Learning Rotations COLT 2011 Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Penalty Decomposition Methods for Rank Minimization NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010