low-rank matrix

Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 A Denoising View of Matrix Completion NeurIPS 2011 A Simpler Approach to Matrix Completion JMLR 2011 Concentration-Based Guarantees for Low-Rank Matrix Reconstruction COLT 2011 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Penalty Decomposition Methods for Rank Minimization NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Matrix Completion from Noisy Entries JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Consistency of Trace Norm Minimization JMLR 2008