wotaoyin / LargeScaleBookSlides
☆24Updated 2 years ago
Alternatives and similar repositories for LargeScaleBookSlides:
Users that are interested in LargeScaleBookSlides are comparing it to the libraries listed below
- SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers☆20Updated 3 years ago
- ☆30Updated last year
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Updated 4 months ago
- MATLAB implementation of ManPG☆12Updated 2 years ago
- Generic and efficient MATLAB solver for nonsmooth optimization problems☆27Updated 2 months ago
- A Matlab library for solving optimization problems with forward-backward splitting☆39Updated 6 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
- A feasible method for optimization with orthogonality constraints☆41Updated 4 years ago
- Source codes for paper "Faster FISTA" and "Improving FISTA: Faster, Smarter and Greedier''☆41Updated 3 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆10Updated 4 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆21Updated 3 months ago
- This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold☆10Updated 4 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆30Updated 5 years ago
- YALL1: Your ALgorithms for L1☆12Updated 7 years ago
- The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>☆19Updated 6 years ago
- Riemannian optimization on the symplectic Stiefel manifold☆13Updated 2 years ago
- Randomly Assembled Cyclic ADMM Quadratic Programming Solver☆17Updated 4 years ago
- Vector Approximate Message Passing (VAMP)☆8Updated last year
- Stochastic PDHG with Arbitrary Sampling and Imaging Applications☆20Updated 5 years ago
- A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments☆53Updated 3 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 9 years ago
- Code for the paper "Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems"☆10Updated 5 years ago
- Accelerated Alternating Projections for Robust Principal Component Analysis☆22Updated 2 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- Code for recovery of low-rank plus sparse matrices☆11Updated 11 months ago
- Proximal Newton OPTimizer☆22Updated 10 years ago
- PyProximal – Proximal Operators and Algorithms in Python☆64Updated last month
- [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…☆70Updated 3 years ago
- Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation☆27Updated 3 years ago