matrix completion

Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011 Efficient Online Learning via Randomized Rounding NeurIPS 2011 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Matrix Completion for Multi-label Image Classification 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 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 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 Matrix Completion from Noisy Entries JMLR 2010 On Spectral Learning JMLR 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization 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