Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Junyoung Park, Jeongyoun Ahn, Cheolwoo Park. Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 27034-27047, PMLR, 2023. [doi]

@inproceedings{ParkAP23,
  title = {Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation},
  author = {Junyoung Park and Jeongyoun Ahn and Cheolwoo Park},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/park23a.html},
  researchr = {https://researchr.org/publication/ParkAP23},
  cites = {0},
  citedby = {0},
  pages = {27034-27047},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}