Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation - researchr publication authors

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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]

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