low-rank recovery

Convolutional Imputation of Matrix Networks ICML 2018 How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018 Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017 Outlier-Robust Tensor PCA CVPR 2017 High-Rank Matrix Completion and Clustering under Self-Expressive Models NeurIPS 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015 Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA ICML 2015 Robust Principal Component Analysis on Graphs ICCV 2015 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014 Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices CVPR 2014 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009