low-rank matrix

Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016 Dynamic matrix recovery from incomplete observations under an exact low-rank constraint NeurIPS 2016 Fast recovery from a union of subspaces NeurIPS 2016 Fitting Spectral Decay with the k-Support Norm AISTATS 2016 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 High Dimensional Structured Superposition Models NeurIPS 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NeurIPS 2016 Online Learning with Low Rank Experts COLT 2016 On the low-rank approach for semidefinite programs arising in synchronization and community detection COLT 2016 Optimal Statistical and Computational Rates for One Bit Matrix Completion AISTATS 2016 Probabilistic Low-Rank Matrix Completion from Quantized Measurements JMLR 2016 Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NeurIPS 2016 Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices JMLR 2016 Robust Principal Component Analysis with Side Information ICML 2016 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 Analysis of Robust PCA via Local Incoherence NeurIPS 2015 A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015 Classification with Low Rank and Missing Data ICML 2015 Clique-Graph Matching by Preserving Global & Local Structure CVPR 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 Completing Any Low-rank Matrix, Provably JMLR 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015