Jeongyoun Ahn

According to our database, Jeongyoun Ahn authored at least 17 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reproducing Kernels and New Approaches in Compositional Data Analysis.

Binglin Li, Changwon Yoon, Jeongyoun Ahn

J. Mach. Learn. Res., 2023

Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy.

Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Junyoung Park, Jeongyoun Ahn, Cheolwoo Park

Proceedings of the International Conference on Machine Learning, 2023

2022

Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data.

J. C. Poythress, Jeongyoun Ahn, Cheolwoo Park

J. Comput. Graph. Stat., 2022

Reproducing Kernels and New Approaches in Compositional Data Analysis.

Binglin Li, Jeongyoun Ahn

CoRR, 2022

Kernel Methods for Radial Transformed Compositional Data with Many Zeros.

Junyoung Park, Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn

Proceedings of the International Conference on Machine Learning, 2022

2021

Subspace rotations for high-dimensional outlier detection.

Hee Cheol Chung, Jeongyoun Ahn

J. Multivar. Anal., 2021

Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination.

Jeongyoun Ahn, Hee Cheol Chung, Yongho Jeon

J. Comput. Graph. Stat., 2021

Feature-weighted ordinal classification for predicting drug response in multiple myeloma.

Ziyang Ma, Jeongyoun Ahn

Bioinform., 2021

2020

Grouped variable screening for ultra-high dimensional data for linear model.

Debin Qiu, Jeongyoun Ahn

Comput. Stat. Data Anal., 2020

2016

General sparse multi-class linear discriminant analysis.

Sandra E. Safo, Jeongyoun Ahn

Comput. Stat. Data Anal., 2016

2015

A Nonparametric Kernel Approach to Interval-Valued Data Analysis.

Yongho Jeon, Jeongyoun Ahn, Cheolwoo Park

Technometrics, 2015

Sparse HDLSS discrimination with constrained data piling.

Jeongyoun Ahn, Yongho Jeon

Comput. Stat. Data Anal., 2015

2012

A resampling approach for interval-valued data regression.

Jeongyoun Ahn, Muliang Peng, Cheolwoo Park, Yongho Jeon

Stat. Anal. Data Min., 2012

2010

A stable hyperparameter selection for the Gaussian RBF kernel for discrimination.

Jeongyoun Ahn

Stat. Anal. Data Min., 2010

2007

Support vector machines with adaptive L_q penalty.

Yufeng Liu, Hao Helen Zhang, Cheolwoo Park, Jeongyoun Ahn

Comput. Stat. Data Anal., 2007

2006

Gene selection using support vector machines with non-convex penalty.

Hao Helen Zhang, Jeongyoun Ahn, Xiaodong Lin, Cheolwoo Park

Bioinform., 2006