Yongdai Kim
Seoul National University
H-index: 34
Asia-South Korea
Top articles of Yongdai Kim
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights | arXiv preprint arXiv:2403.14225 | Insung Kong Yongdai Kim | 2024/3/21 |
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models | Journal of Machine Learning Research | Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin | 2023 |
Covariate balancing using the integral probability metric for causal inference | Insung Kong Yuha Park Joonhyuk Jung Kwonsang Lee Yongdai Kim | 2023/7/3 | |
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation | Dongyoon Yang Insung Kong Yongdai Kim | 2023 | |
Measuring Fairness Using Probable Segmentation for Continuous Sensitive Attributes | Eungbeom Kim Minju Kim Kunwoong Kim Insung Kong Yongdai Kim | 2023/10/13 | |
Lq regularization for fair artificial intelligence robust to covariate shift | Statistical Analysis and Data Mining: The ASA Data Science Journal | Seonghyeon Kim Sara Kim Kunwoong Kim Yongdai Kim | 2023/6 |
Characterization of the solutions set of the generalized LASSO problems for non-full rank cases | Electronic Journal of Statistics | Jaesung Hwang Joongho Won Yongdai Kim | 2023 |
Fairness Through Matching for better group fairness | Kunwoong Kim Insung Kong Jongjin Lee Minwoo Chae Yongdai Kim | 2023/10/13 | |
Online learning for the Dirichlet process mixture model via weakly conjugate approximation | Computational Statistics & Data Analysis | Kuhwan Jeong Minwoo Chae Yongdai Kim | 2023/3/1 |
Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies | Bayesian Analysis | Gwangsu Kim Chang D Yoo Yongdai Kim | 2023/1 |
Improving Performance of Semi-Supervised Learning by Adversarial Attacks | arXiv preprint arXiv:2308.04018 | Dongyoon Yang Kunwoong Kim Yongdai Kim | 2023/8/8 |
Within-group fairness: A guidance for more sound between-group fairness | arXiv preprint arXiv:2301.08375 | Sara Kim Kyusang Yu Yongdai Kim | 2023/1/20 |
Improving adversarial robustness by putting more regularizations on less robust samples | Dongyoon Yang Insung Kong Yongdai Kim | 2023/7/3 | |
A Bayesian sparse factor model with adaptive posterior concentration | Bayesian Analysis | Ilsang Ohn Lizhen Lin Yongdai Kim | 2023/1 |
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models | arXiv preprint arXiv:2301.04257 | Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim | 2023/1/11 |
Masked bayesian neural networks: Theoretical guarantee and its posterior inference | Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Gyuseung Baek | 2023/7/3 | |
Masked Bayesian Neural Networks: Computation and Optimality | arXiv preprint arXiv:2206.00853 | Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim | 2022/6/2 |
Identifying susceptibility of children and adolescents to the Omicron variant (B. 1.1. 529) | BMC medicine | June Young Chun Hwichang Jeong Yongdai Kim | 2022/11/23 |
Posterior consistency of factor dimensionality in high-dimensional sparse factor models | Bayesian Analysis | Ilsang Ohn Yongdai Kim | 2022/6 |
Evaluation of optimal assessment schedules for surveillance after definitive locoregional treatment of locally advanced head and neck cancer: A retrospective cohort study with … | JAMA Otolaryngology–Head & Neck Surgery | Hye In Lee Jongjin Lee Joo Ho Lee Hong-Gyun Wu Jin Ho Kim | 2022/11/1 |
