Kwan-Young Bak

Professor

Sungshin Women's University

South Korea

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Professor Kwan-Young Bak is a faculty member at Sungshin Women's University in South Korea. His research areas encompass kernel ridge regression, nonparametric multi-task regression, and adaptive neural network methodologies. Recent publications include studies on dimensionality reduction, regularization techniques, and cognitive dimensions of risk perception in South Korea. With a focus on statistical learning and regression analysis, he contributes to advancing methodological frameworks in these fields.

Kwan-Young Bak

Research Interests

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Articles (16)

Minimax optimality of kernel ridge regression when kernel eigenvalues decay polynomially or exponentially

Comparison of Multi-Risk Perceptions and Sociodemographic Characteristics in South Korea: Cognitive and Affective Dimensions

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

Dimensionality reduction in multivariate nonparametric regression via nuclear norm penalization

Nonparametric multi-task regression under group sparsity and low-rank structures

Multi-Task Nonparametric Regression Under Joint Sparsity

Effect of dimensionality on convergence rates of kernel ridge regression estimator

Nonparametric logistic regression based on sparse triangulation over a compact domain

Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization

The regularization paths of total variation-penalized regression splines

Minimax estimation in multi-task regression under low-rank structures

An Adaptive Neural Network Regression Method for Structure Identification

Additive regression splines with total variation and non negative garrote penalties

Penalized logspline density estimation using total variation penalty

Adaptive log-density estimation

Nonparametric matrix regression function estimation over symmetric positive definite matrices

Collaborators (4)

Woojoo Lee

Won Mo Jang

Ryemi Do

Jae-Hwan Jhong

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