LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces

Shuhan Zhang, Fan Yang 0001, Changhao Yan, Dian Zhou, Xuan Zeng 0001. LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces. In MLCAD '22: 2022 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event China, September 12 - 13, 2022. pages 27-34, ACM, 2022. [doi]

@inproceedings{ZhangYYZZ22-0,
  title = {LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces},
  author = {Shuhan Zhang and Fan Yang 0001 and Changhao Yan and Dian Zhou and Xuan Zeng 0001},
  year = {2022},
  doi = {10.1145/3551901.3556496},
  url = {https://doi.org/10.1145/3551901.3556496},
  researchr = {https://researchr.org/publication/ZhangYYZZ22-0},
  cites = {0},
  citedby = {0},
  pages = {27-34},
  booktitle = {MLCAD '22: 2022 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event China, September 12 - 13, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9486-4},
}