rflamary / nonconvex-optimizationLinks
Matlab/Octave toolbox for nonconvex optimization
☆50Updated 9 years ago
Alternatives and similar repositories for nonconvex-optimization
Users that are interested in nonconvex-optimization are comparing it to the libraries listed below
Sorting:
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆32Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆16Updated 4 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Examples/code for the alternating direction method of multipliers (ADMM)☆112Updated 10 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 6 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 6 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 6 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆21Updated 9 years ago
- MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20☆223Updated 2 years ago
- The source codes for the paper "Fast l1-l2 minimization via a proximal operator”☆25Updated 4 years ago
- Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning☆34Updated 9 years ago
- MATLAB Tensor Tools☆88Updated 4 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆17Updated 10 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆22Updated 7 months ago
- A lightweight accelerated proximal-gradient package for matlab☆33Updated 9 years ago
- A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning☆38Updated 5 years ago
- A matlab library for CUR matrix decomposition☆27Updated 7 years ago
- Matlab implementation of the Adam stochastic gradient descent optimisation algorithm☆58Updated 8 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago
- A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.☆20Updated 7 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 6 years ago
- A generic optimization method for any integer programming problem☆92Updated 4 years ago
- Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation☆29Updated 3 years ago
- Matlab implementation of a Generative Adversarial Network☆24Updated 7 years ago
- Matrix and Tensor Completion for Background Model Initialization☆111Updated 4 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 9 years ago