ryotat / dal
Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
☆33Updated 9 years ago
Alternatives and similar repositories for dal:
Users that are interested in dal are comparing it to the libraries listed below
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆43Updated 10 years ago
- Kernel Methods Toolbox for Matlab/Octave☆51Updated 5 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 10 years ago
- ☆15Updated 10 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- Matlab toolbox for tensor regressions☆27Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- An Internal Validity Index Based on Density-Involved Distance (2019).☆16Updated last month
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆20Updated 2 months ago
- ☆22Updated 9 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- Proximal Newton OPTimizer☆21Updated 10 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- Matlab toolbox for sparse regression☆26Updated 3 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆35Updated 4 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated last year
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago