3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2021
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space
Jongkyeong Kang, Seung Jun Shin
Variable selection is essential in high-dimensional data analysis. Although various variable selection methods have been developed, most rely on the linear model assumption. This a…
stat.ME2017★ 3 cited
The cumulative Kolmogorov filter for model-free screening in ultrahigh dimensional data
Arlene K. H. Kim, Seung Jun Shin
We propose a cumulative Kolmogorov filter to improve the fused Kolmogorov filter proposed by Zou (2015) via cumulative slicing. We establish an improved asymptotic result under rel…