Skip to content

jiachangliu/OKRidge

Repository files navigation

okridge

This repository contains source code to our NeurIPS 2023 paper:

OKRidge: Scalable Optimal k-Sparse Ridge Regression

Table of Content

Introduction

Installation

$ pip install okridge

Usage

  • TODO

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

okridge was created by Jiachang Liu. It is licensed under the terms of the BSD 3-Clause license.

Credits

okridge was created with cookiecutter and the py-pkgs-cookiecutter template.

Citing Our Work

If you find our work useful in your research, please consider citing the following paper:

@article{liu2023okridge,
  title={OKRidge: Scalable Optimal k-Sparse Ridge Regression},
  author={Liu, Jiachang and Rosen, Sam and Zhong, Chudi and Rudin, Cynthia},
  booktitle={Proceedings of Neural Information Processing Systems},
  year={2023}
}

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages