cciliber / matMTL
Multi Task Learning Package for Matlab
☆21Updated 5 years ago
Related projects: ⓘ
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Updated 4 years ago
- [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization☆28Updated 4 years ago
- Multi-task feature learning☆15Updated 6 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆44Updated last year
- Multi-task learning via Structural Regularization☆133Updated 3 years ago
- Matlab/Octave toolbox for nonconvex optimization☆49Updated 8 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆34Updated 5 years ago
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- Sampling via Moment Sharing☆11Updated 9 years ago
- Python implementation of SVRG-BB and SGD-BB algorithms☆29Updated 6 years ago
- Lasso with ADMM in Python/MPI☆27Updated 8 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 6 years ago
- Examples/code for the alternating direction method of multipliers (ADMM)☆100Updated 9 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- source code for MvBLS paper☆9Updated 3 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 8 years ago
- Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL☆14Updated 7 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆63Updated last year
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Updated 6 years ago
- Codes for Stackelberg GAN☆12Updated 5 years ago
- can calculate the Hessian matrix and/or its spectrum for simple neural nets☆10Updated 6 years ago
- Low-rank Matrix Completion using Alternating Minimization☆22Updated 6 years ago
- Sparse principal component analysis as a nonlinear eigenproblem☆15Updated 3 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 7 years ago
- Implementation of SVRG for training neural networks☆17Updated 4 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆11Updated 6 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆16Updated 7 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 5 years ago
- ☆11Updated last year