autogen/website/docs/Research.md

Research

For technical details, please check our research publications.

• FLAML: A Fast and Lightweight AutoML Library. Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu. MLSys 2021.

@inproceedings{wang2021flaml,
    title={FLAML: A Fast and Lightweight AutoML Library},
    author={Chi Wang and Qingyun Wu and Markus Weimer and Erkang Zhu},
    year={2021},
    booktitle={MLSys},
}

• Frugal Optimization for Cost-related Hyperparameters. Qingyun Wu, Chi Wang, Silu Huang. AAAI 2021.

@inproceedings{wu2021cfo,
    title={Frugal Optimization for Cost-related Hyperparameters},
    author={Qingyun Wu and Chi Wang and Silu Huang},
    year={2021},
    booktitle={AAAI},
}

• Economical Hyperparameter Optimization With Blended Search Strategy. Chi Wang, Qingyun Wu, Silu Huang, Amin Saied. ICLR 2021.

@inproceedings{wang2021blendsearch,
    title={Economical Hyperparameter Optimization With Blended Search Strategy},
    author={Chi Wang and Qingyun Wu and Silu Huang and Amin Saied},
    year={2021},
    booktitle={ICLR},
}

• An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models. Susan Xueqing Liu, Chi Wang. ACL 2021.

@inproceedings{liuwang2021hpolm,
    title={An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models},
    author={Susan Xueqing Liu and Chi Wang},
    year={2021},
    booktitle={ACL},
}

• ChaCha for Online AutoML. Qingyun Wu, Chi Wang, John Langford, Paul Mineiro and Marco Rossi. ICML 2021.

@inproceedings{wu2021chacha,
    title={ChaCha for Online AutoML},
    author={Qingyun Wu and Chi Wang and John Langford and Paul Mineiro and Marco Rossi},
    year={2021},
    booktitle={ICML},
}

• Fair AutoML. Qingyun Wu, Chi Wang. ArXiv preprint arXiv:2111.06495 (2021).

@inproceedings{wuwang2021fairautoml,
    title={Fair AutoML},
    author={Qingyun Wu and Chi Wang},
    year={2021},
    booktitle={ArXiv preprint arXiv:2111.06495},
}

• Mining Robust Default Configurations for Resource-constrained AutoML. Moe Kayali, Chi Wang. ArXiv preprint arXiv:2202.09927 (2022).

@inproceedings{kayaliwang2022default,
    title={Mining Robust Default Configurations for Resource-constrained AutoML},
    author={Moe Kayali and Chi Wang},
    year={2022},
    booktitle={ArXiv preprint arXiv:2202.09927},
}

• Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu. ICLR 2023 (notable-top-5%).

@inproceedings{
zhang2023targeted,
title={Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives},
author={Shaokun Zhang and Feiran Jia and Chi Wang and Qingyun Wu},
booktitle={International Conference on Learning Representations},
year={2023},
url={https://openreview.net/forum?id=0Ij9_q567Ma}
}