This repositery provides code and scripts to reproduce the experimental results in Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization, Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang, International Conference on Machine Learning (ICML), 2023.
forked from quanqihu/BSVRB_ICML2023
-
Notifications
You must be signed in to change notification settings - Fork 0
Optimization-AI/ICML2023_BSVRB
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Official implementation of the paper "Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization", ICML 2023
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 98.4%
- Shell 1.6%