Jeongyoun Ahn

21 papers A* 4Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Kernel density estimation for compositional data with zeros via hypersphere mapping.
Comput. Stat. Data Anal.
Changwon Yoon, Hyunbin Choi, Jeongyoun Ahn
2025 J jnl
Optimal differentially private kernel learning with random projection.
CoRR
Bonwoo Lee, Cheolwoo Park, Jeongyoun Ahn
2025 J jnl
Variable Selection and Basis Learning for Ordinal Classification.
J. Comput. Graph. Stat.
Minwoo Kim, Sangil Han, Jeongyoun Ahn, Sungkyu Jung
2024 A* conf
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features.
NeurIPS
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
2023 A* conf
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation.
ICML
Junyoung Park, Jeongyoun Ahn, Cheolwoo Park
2023 A* conf
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy.
NeurIPS
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
2023 J jnl
Reproducing Kernels and New Approaches in Compositional Data Analysis.
J. Mach. Learn. Res.
Binglin Li, Changwon Yoon, Jeongyoun Ahn
2022 A* conf
Kernel Methods for Radial Transformed Compositional Data with Many Zeros.
ICML
Junyoung Park, Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn
2022 J jnl
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data.
J. Comput. Graph. Stat.
J. C. Poythress, Jeongyoun Ahn, Cheolwoo Park
2022 J jnl
Reproducing Kernels and New Approaches in Compositional Data Analysis.
CoRR
Binglin Li, Jeongyoun Ahn
2021 J jnl
Feature-weighted ordinal classification for predicting drug response in multiple myeloma.
Bioinform.
Ziyang Ma, Jeongyoun Ahn
2021 J jnl
Subspace rotations for high-dimensional outlier detection.
J. Multivar. Anal.
Hee Cheol Chung, Jeongyoun Ahn
2021 J jnl
Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination.
J. Comput. Graph. Stat.
Jeongyoun Ahn, Hee Cheol Chung, Yongho Jeon
2020 J jnl
Grouped variable screening for ultra-high dimensional data for linear model.
Comput. Stat. Data Anal.
Debin Qiu, Jeongyoun Ahn
2016 J jnl
General sparse multi-class linear discriminant analysis.
Comput. Stat. Data Anal.
Sandra E. Safo, Jeongyoun Ahn
2015 J jnl
A Nonparametric Kernel Approach to Interval-Valued Data Analysis.
Technometrics
Yongho Jeon, Jeongyoun Ahn, Cheolwoo Park
2015 J jnl
Sparse HDLSS discrimination with constrained data piling.
Comput. Stat. Data Anal.
Jeongyoun Ahn, Yongho Jeon
2012 J jnl
A resampling approach for interval-valued data regression.
Stat. Anal. Data Min.
Jeongyoun Ahn, Muliang Peng, Cheolwoo Park, Yongho Jeon
2010 J jnl
A stable hyperparameter selection for the Gaussian RBF kernel for discrimination.
Stat. Anal. Data Min.
Jeongyoun Ahn
2007 J jnl
Support vector machines with adaptive L
Comput. Stat. Data Anal.
Yufeng Liu, Hao Helen Zhang, Cheolwoo Park, Jeongyoun Ahn
2006 J jnl
Gene selection using support vector machines with non-convex penalty.
Bioinform.
Hao Helen Zhang, Jeongyoun Ahn, Xiaodong Lin, Cheolwoo Park