PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces

Shuhei Watanabe, Archit Bansal, Frank Hutter. PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China. pages 4389-4396, ijcai.org, 2023. [doi]

@inproceedings{WatanabeBH23,
  title = {PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces},
  author = {Shuhei Watanabe and Archit Bansal and Frank Hutter},
  year = {2023},
  doi = {10.24963/ijcai.2023/488},
  url = {https://doi.org/10.24963/ijcai.2023/488},
  researchr = {https://researchr.org/publication/WatanabeBH23},
  cites = {0},
  citedby = {0},
  pages = {4389-4396},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China},
  publisher = {ijcai.org},
}