Publications

  • Park, J., Ahn, J., and Park, C. (2023), Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data, Proceedings of the 40th International Conference on Machine Learning (ICML). Link. Github.
  • Kang, I., Choi, H., Yoon, Y.-J., Park, J., Kwon, S.-S., and Park, C. (2023), Frechet Distance-Based Cluster Analysis for Multi-Dimensional Functional Data, Statistics and Computing, 33(4), 75.
  • Park, J., Yoon, C., Park, C., and Ahn, J. (2022), Kernel Methods for Radial Transformed Compositional Data with Many Zeros, Proceedings of the 39th International Conference on Machine Learning (ICML), Link.

In Progress

  • Interpretable Dimension Reduction for Compositional Data (with Jeongyoun Ahn and Cheolwoo Park), partially appeared in my Ph.D. thesis (Chapter 3, 5).