Code for ICML2023 Paper: Continuation Path Learning for Homotopy Optimization
The code is mainly designed to be simple and readable, it contains:
run_nonconvex_opt.py
is a ~130-line script to run the Continuation Path Learning (CPL) algorithm for nonconvex optimization;run_noisy_regression.py
is a ~70-line script to run the Continuation Path Learning (CPL) algorithm for noisy regression;model.py
is a simple FC Continuation Path Model;function.py
contains all the test problems used in the paper;
Reference
If you find our work is helpful to your research, please cite our paper:
@inproceedings{lin2023continuation,
title={Continuation Path Learning for Homotopy Optimization},
author={Lin, Xi and Yang, Zhiyuan and Zhang, Xiaoyuan and Zhang, Qingfu},
booktitle={International Conference on Machine Learning},
year={2023}
}