chenshixiang / Decentralized_Riemannian_gradient_descent_on_Stiefel_manifold
☆11Updated last year
Alternatives and similar repositories for Decentralized_Riemannian_gradient_descent_on_Stiefel_manifold:
Users that are interested in Decentralized_Riemannian_gradient_descent_on_Stiefel_manifold are comparing it to the libraries listed below
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆14Updated 3 years ago
- Accelerated Alternating Projections for Robust Principal Component Analysis☆21Updated 2 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation☆27Updated 3 years ago
- A feasible method for optimization with orthogonality constraints☆40Updated 3 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆30Updated 5 years ago
- MATLAB implementation of ManPG☆12Updated 2 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆11Updated 6 years ago
- ☆30Updated last year
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- ☆15Updated 4 years ago
- The MATLAB source code☆16Updated 5 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC☆10Updated 7 years ago
- Benchmark for bi-level optimization solvers☆44Updated 4 months ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆43Updated 8 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆34Updated 4 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- Code for nonconvex graph trend filtering☆10Updated 2 years ago
- An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.☆63Updated 5 years ago
- [Tool] Low rank matrix recovery by minimizing matrix norm☆47Updated 4 years ago
- SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers☆20Updated 3 years ago
- This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold☆10Updated 4 years ago
- The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>☆19Updated 6 years ago
- Non-convex optimization using proximal methods☆14Updated 7 years ago
- A collection of tensor completion algorithms☆17Updated 3 years ago