Kwan-Young Bak

According to our database, Kwan-Young Bak authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Low-Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization.

Yongku Kim, Jae-Hwan Jhong, Ja-Yong Koo, Kwan-Young Bak

Stat. Anal. Data Min., 2025

Linear covariance selection model via ℓ1-penalization.

Kwan-Young Bak, Seongoh Park

Comput. Stat. Data Anal., 2025

Multi-Task Nonparametric Regression Under Joint Sparsity.

Jae-Hwan Jhong, Gyeongmin Kim, Kwan-Young Bak

IEEE Access, 2025

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.

Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

The regularization paths of total variation-penalized regression splines.

Kwan-Young Bak

Commun. Stat. Simul. Comput., October, 2024

An Adaptive Neural Network Regression Method for Structure Identification.

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

J. Comput. Graph. Stat., 2024

2023

Minimax Density Estimation Under Radial Symmetry.

Kwan-Young Bak, Ja-Yong Koo

IEEE Access, 2023

2022

Sparse neural network regression with variable selection.

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

Comput. Intell., December, 2022

Penalized additive neural network regression.

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

Intell. Data Anal., 2022

2021

Penalized logspline density estimation using total variation penalty.

Kwan-Young Bak, Jae-Hwan Jhong, Jung-Jun Lee, Jae-Kyung Shin, Ja-Yong Koo

Comput. Stat. Data Anal., 2021