optsuite / OptM
A feasible method for optimization with orthogonality constraints
☆40Updated 3 years ago
Alternatives and similar repositories for OptM:
Users that are interested in OptM are comparing it to the libraries listed below
- MATLAB implementation of ManPG☆12Updated 2 years ago
- SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers☆18Updated 3 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆11Updated 6 years ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆30Updated 5 years ago
- 张量分解算法整理☆62Updated 9 years ago
- tensor-tensor product toolbox☆80Updated 3 years ago
- ☆23Updated 2 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- A collection of tensor completion algorithms☆17Updated 3 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆52Updated 6 years ago
- Riemannian optimization on the symplectic Stiefel manifold☆13Updated 2 years ago
- ☆32Updated 3 years ago
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Updated 3 months ago
- Tuning-Free Huber Regression☆14Updated 3 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization☆28Updated 3 years ago
- Tensor Robust Principal Component Analysis via t-SVD☆13Updated 6 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆24Updated 3 years ago
- Tensor ring low-rank factors (AAAI 2019)☆37Updated 6 years ago
- This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold☆10Updated 4 years ago
- The collection of tensor decomposition, completion and recovery papers and codes.☆49Updated 5 years ago
- The source codes for the paper "Fast l1-l2 minimization via a proximal operator”☆24Updated 4 years ago
- ☆30Updated last year
- Boosted Sparse and Low-Rank Tensor Regression☆12Updated 6 years ago
- ☆11Updated last year
- Matlab code of Bayesian CP Factorization for Tensor Completion☆34Updated 8 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆19Updated 9 years ago
- fast randomized SVD and its application to SVT algorithm☆24Updated 2 years ago