low-rank matrix

Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Universal Matrix Completion ICML 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Local Low-Rank Matrix Approximation ICML 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Matrix factorization with binary components NeurIPS 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Multi-label Subspace Ensemble AISTATS 2012 Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012 Primal-Dual methods for sparse constrained matrix completion AISTATS 2012