Ahn, Jeongyoun

5 publications

NeurIPS 2024 Differential Privacy in Scalable General Kernel Learning via $k$-Means Nystr{\"o}m Random Features Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park

ICML 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation Junyoung Park, Jeongyoun Ahn, Cheolwoo Park

NeurIPS 2023 Minimax Risks and Optimal Procedures for Estimation Under Functional Local Differential Privacy Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park

JMLR 2023 Reproducing Kernels and New Approaches in Compositional Data Analysis Binglin Li, Changwon Yoon, Jeongyoun Ahn

ICML 2022 Kernel Methods for Radial Transformed Compositional Data with Many Zeros Junyoung Park, Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn