nuclear norm

Learning Structured Low-Rank Representation via Matrix Factorization AISTATS 2016 Minimizing the Maximal Rank CVPR 2016 Noisy Tensor Completion via the Sum-of-Squares Hierarchy COLT 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016 Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 Completing Any Low-rank Matrix, Provably JMLR 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NeurIPS 2015 Low Rank Matrix Completion with Exponential Family Noise COLT 2015 Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares JMLR 2015 Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA ICML 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Convex Total Least Squares ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014 Universal Matrix Completion ICML 2014 A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013 Active Contours with Group Similarity CVPR 2013 Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NeurIPS 2013 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision ICCV 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013