low-rank matrix

Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery JMLR 2018 How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018 Low-rank passthrough neural networks ACL 2018 Matrix completion with Preference Ranking for Top-N Recommendation IJCAI 2018 Mixture Matrix Completion NeurIPS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018 Smoothed analysis of the low-rank approach for smooth semidefinite programs NeurIPS 2018 Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations IJCAI 2018 Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations JMLR 2018 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 Algebraic Variety Models for High-Rank Matrix Completion ICML 2017 A New Theory for Matrix Completion NeurIPS 2017 Convexified Convolutional Neural Networks ICML 2017 Fundamental limits of symmetric low-rank matrix estimation COLT 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Matrix Completion from $O(n)$ Samples in Linear Time COLT 2017 Matrix Completion with Noisy Entries and Outliers JMLR 2017 Matrix Norm Estimation from a Few Entries NeurIPS 2017 Nearly Optimal Robust Matrix Completion ICML 2017 On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017 Optimal Shrinkage of Singular Values Under Random Data Contamination NeurIPS 2017 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017