Pages that link to "Item:Q398628"

The following pages link to Low-rank tensor completion by Riemannian optimization (Q398628):

Displaying 50 items.

• Parallel matrix factorization for low-rank tensor completion (Q256035) (← links)
• \(\varepsilon\)-subgradient algorithms for locally Lipschitz functions on Riemannian manifolds (Q273664) (← links)
• On tensor completion via nuclear norm minimization (Q330103) (← links)
• Tucker factorization with missing data with application to low-\(n\)-rank tensor completion (Q335961) (← links)
• Low-rank retractions: a survey and new results (Q496216) (← links)
• Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations (Q506609) (← links)
• Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations (Q777514) (← links)
• Twist tensor total variation regularized-reweighted nuclear norm based tensor completion for video missing area recovery (Q781059) (← links)
• Convergence analysis of Riemannian Gauss-Newton methods and its connection with the geometric condition number (Q1693629) (← links)
• Cross: efficient low-rank tensor completion (Q1731066) (← links)
• Alternating direction method of multipliers for generalized low-rank tensor recovery (Q1736785) (← links)
• Block tensor train decomposition for missing data estimation (Q1757240) (← links)
• On polynomial time methods for exact low-rank tensor completion (Q2007852) (← links)
• Tensor completion via bilevel minimization with fixed-point constraint to estimate missing elements in noisy data (Q2026112) (← links)
• Tensor theta norms and low rank recovery (Q2048814) (← links)
• Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
• Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion (Q2095166) (← links)
• Low-CP-rank tensor completion via practical regularization (Q2113663) (← links)
• Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography (Q2122021) (← links)
• Noisy tensor completion via the sum-of-squares hierarchy (Q2144539) (← links)
• Particle number conservation and block structures in matrix product states (Q2149943) (← links)
• Fast multidimensional completion and principal component analysis methods via the cosine product (Q2149945) (← links)
• Topology of tensor ranks (Q2173721) (← links)
• Guarantees of Riemannian optimization for low rank matrix completion (Q2176515) (← links)
• Characterization of sampling patterns for low-tt-rank tensor retrieval (Q2202522) (← links)
• Tensor factorization with total variation and Tikhonov regularization for low-rank tensor completion in imaging data (Q2203366) (← links)
• Iterative \(p\)-shrinkage thresholding algorithm for low Tucker rank tensor recovery (Q2212078) (← links)
• A brief introduction to manifold optimization (Q2218094) (← links)
• Robust Schatten-\(p\) norm based approach for tensor completion (Q2291931) (← links)
• Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval (Q2294578) (← links)
• Low-rank tensor completion via smooth matrix factorization (Q2310630) (← links)
• Non-intrusive tensor reconstruction for high-dimensional random PDEs (Q2324350) (← links)
• Low-rank tensor completion based on log-det rank approximation and matrix factorization (Q2330690) (← links)
• Stable als approximation in the TT-format for rank-adaptive tensor completion (Q2334620) (← links)
• Optimization on the hierarchical Tucker manifold - applications to tensor completion (Q2350002) (← links)
• Low rank tensor recovery via iterative hard thresholding (Q2400255) (← links)
• An approximation method of CP rank for third-order tensor completion (Q2662903) (← links)
• Robust low-rank matrix completion by Riemannian optimization (Q2830625) (← links)
• Riemannian optimization for high-dimensional tensor completion (Q2830626) (← links)
• (Q2941674) (← links)
• Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality (Q2954392) (← links)
• Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs (Q2954481) (← links)
• A Riemannian Gradient Sampling Algorithm for Nonsmooth Optimization on Manifolds (Q2967606) (← links)
• A Riemannian trust-region method for low-rank tensor completion (Q3120344) (← links)
• Adaptive Quadratically Regularized Newton Method for Riemannian Optimization (Q3176355) (← links)
• Geometric Methods on Low-Rank Matrix and Tensor Manifolds (Q3300541) (← links)
• Variants of Alternating Least Squares Tensor Completion in the Tensor Train Format (Q3447473) (← links)
• Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing (Q3460831) (← links)
• Tensor Completion in Hierarchical Tensor Representations (Q3460842) (← links)
• Iterative algorithm for the symmetric and nonnegative tensor completion problem (Q4967254) (← links)