chenshixiang / Decentralized_Riemannian_gradient_descent_on_Stiefel_manifoldLinks
☆12Updated 2 years ago
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
Sorting:
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- ☆15Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Factor Graph Neural Network☆73Updated 4 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 7 years ago
- Zeroth-order Min-max Optimization☆12Updated 5 years ago
- Bi-level Optimization for Advanced Deep Learning☆46Updated 3 years ago
- Experiments for distributed optimization algorithms☆77Updated 2 years ago
- Python implementation of SVRG-BB and SGD-BB algorithms☆30Updated 7 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆15Updated 4 years ago
- MATLAB implementation of ManPG☆12Updated 2 years ago
- A feasible method for optimization with orthogonality constraints☆41Updated 4 years ago
- Hierarchical Wasserstein Alignment☆9Updated 5 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- Benchmark for bi-level optimization solvers☆48Updated 2 months ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆32Updated 8 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Updated 7 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆25Updated 6 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆69Updated 3 years ago
- A method based on manifold regularization for training adversarially robust neural networks☆9Updated 5 years ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆30Updated 5 years ago
- The MATLAB source code☆14Updated 5 years ago