Pages that link to "Item:Q2848192"

The following pages link to Low-rank matrix completion by Riemannian optimization (Q2848192):

Displaying 45 items.

• (Q5210479) (← links)
• Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold (Q5210519) (← links)
• The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections (Q5232119) (← links)
• Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold (Q5236625) (← links)
• A Gradient Sampling Method on Algebraic Varieties and Application to Nonsmooth Low-Rank Optimization (Q5242934) (← links)
• Preserving Lagrangian Structure in Nonlinear Model Reduction with Application to Structural Dynamics (Q5254410) (← links)
• Desingularization of Bounded-Rank Matrix Sets (Q5373921) (← links)
• A Geometric Approach to Dynamical Model Order Reduction (Q5373924) (← links)
• Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure (Q5739957) (← links)
• The Condition Number of Riemannian Approximation Problems (Q5857299) (← links)
• Computing Eigenspaces With Low Rank Constraints (Q5857626) (← links)
• Riemannian optimization via Frank-Wolfe methods (Q6038651) (← links)
• Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy (Q6038660) (← links)
• Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation (Q6039249) (← links)
• A Riemannian subspace BFGS trust region method (Q6081602) (← links)
• An entropy-regularized ADMM for binary quadratic programming (Q6085714) (← links)
• A framework of regularized low-rank matrix models for regression and classification (Q6089218) (← links)
• Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization (Q6089961) (← links)
• Accurate and fast matrix factorization for low-rank learning. (Q6097244) (← links)
• A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds (Q6110426) (← links)
• Fast gradient method for low-rank matrix estimation (Q6111368) (← links)
• Adaptive trust-region method on Riemannian manifold (Q6111659) (← links)
• Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds (Q6116233) (← links)
• Riemannian conjugate gradient method for low-rank tensor completion (Q6132849) (← links)
• An image inpainting algorithm using exemplar matching and low-rank sparse prior (Q6141547) (← links)
• Riemannian thresholding methods for row-sparse and low-rank matrix recovery (Q6157448) (← links)
• Memoryless quasi-Newton methods based on the spectral-scaling Broyden family for Riemannian optimization (Q6161550) (← links)
• Euclidean Representation of Low-Rank Matrices and Its Geometric Properties (Q6166054) (← links)
• Nonnegative Low Rank Matrix Completion by Riemannian Optimalization Methods (Q6191800) (← links)
• Riemannian gradient methods for stochastic composition problems (Q6488717) (← links)
• Constructing low-rank Tucker tensor approximations using generalized completion (Q6489425) (← links)
• Nonsmooth optimization over the Stiefel manifold and beyond: proximal gradient method and recent variants (Q6540011) (← links)
• Practical gradient and conjugate gradient methods on flag manifolds (Q6541374) (← links)
• From low-rank retractions to dynamical low-rank approximation and back (Q6579314) (← links)
• An improved Riemannian conjugate gradient method and its application to robust matrix completion (Q6582404) (← links)
• Stochastic variance reduced gradient for affine rank minimization problem (Q6587638) (← links)
• Implicit low-rank Riemannian schemes for the time integration of stiff partial differential equations (Q6608074) (← links)
• Multi-dimensional scaling from \(K\)-nearest neighbourhood distances (Q6608081) (← links)
• Modified memoryless spectral-scaling Broyden family on Riemannian manifolds (Q6608756) (← links)
• Solving systems of phaseless equations via Riemannian optimization with optimal sampling complexity (Q6617000) (← links)
• Riemannian trust region methods for \(\mathrm{SC}^1\) minimization (Q6629209) (← links)
• Robust recovery of Robinson property in \(L^p\)-graphons: a cut-norm approach (Q6635185) (← links)
• A preconditioned Riemannian gradient descent algorithm for low-rank matrix recovery (Q6641764) (← links)
• Hermite interpolation with retractions on manifolds (Q6651933) (← links)
• A Riemannian conjugate gradient approach for solving the generalized eigenvalue problem with minimal perturbation (Q6665174) (← links)