mirror of
https://github.com/microsoft/autogen.git
synced 2025-08-04 06:42:35 +00:00
df01031cfe
* Prepare for release Co-authored-by: Moe Kayali <t-moekayali@microsoft.com> * bug fix * improve doc and code quality Co-authored-by: Qingyun Wu
1.9 KiB
1.9 KiB
Research in FLAML
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.
- Economical Hyperparameter Optimization With Blended Search Strategy. Chi Wang, Qingyun Wu, Silu Huang, Amin Saied. ICLR 2021.
- ChaCha for Online AutoML. Qingyun Wu, Chi Wang, John Langford, Paul Mineiro and Marco Rossi. ICML 2021.
- Mining Robust Default Configurations for Resource-constrained AutoML. Moe Kayali, Chi Wang. arXiv preprint arXiv:2202.09927 (2022).
Many researchers and engineers have contributed to the technology development. In alphabetical order: Vijay Aski, Sebastien Bubeck, Surajit Chaudhuri, Kevin Chen, Yi Wei Chen, Nadiia Chepurko, Ofer Dekel, Alex Deng, Anshuman Dutt, Nicolo Fusi, Jianfeng Gao, Johannes Gehrke, Niklas Gustafsson, Silu Huang, Moe Kayali, Dongwoo Kim, Christian Konig, John Langford, Menghao Li, Mingqin Li, Xueqing Liu, Zhe Liu, Naveen Gaur, Paul Mineiro, Vivek Narasayya, Jake Radzikowski, Marco Rossi, Amin Saied, Neil Tenenholtz, Olga Vrousgou, Chi Wang, Yue Wang, Markus Weimer, Qingyun Wu, Qiufeng Yin, Haozhe Zhang, Minjia Zhang, XiaoYun Zhang, Eric Zhu.