An accelerated stochastic proximal gradient algorithm for low rank tensor completion
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Publication:6665175
DOI10.12286/JSSX.J2021-0809MaRDI QIDQ6665175
Publication date: 17 January 2025
Published in: Mathematica Numerica Sinica (Search for Journal in Brave)
Analysis of algorithms and problem complexity (68Q25) Semidefinite programming (90C22) Large-scale problems in mathematical programming (90C06) Multilinear algebra, tensor calculus (15A69)
Cites Work
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- The expression of a tensor or a polyadic as a sum of products.
- Learning with tensors: a framework based on convex optimization and spectral regularization
- A non-convex tensor rank approximation for tensor completion
- A Singular Value Thresholding Algorithm for Matrix Completion
- Tensor completion and low-n-rank tensor recovery via convex optimization
- Nuclear norm of higher-order tensors
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