Minwoo Chae

13 papers A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation.
CoRR
Seonghwi Kim, Sungho Jo, Wooseok Ha, Minwoo Chae
2026 J jnl
Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis.
CoRR
Junhyeok Choi, Sangwoo Mo, Minwoo Chae
2026 J jnl
Nonparametric Estimation of a Factorizable Density using Diffusion Models.
J. Mach. Learn. Res.
Hyeok Kyu Kwon, Dongha Kim, Ilsang Ohn, Minwoo Chae
2026 J jnl
Online Bernstein-von Mises theorem.
J. Mach. Learn. Res.
Jeyong Lee, Junhyeok Choi, Minwoo Chae
2025 J jnl
Fairness Through Matching.
CoRR
Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim
2025 J jnl
Fairness Through Matching.
Trans. Mach. Learn. Res.
Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim
2025 J jnl
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets.
CoRR
Sungho Jo, Seonghwi Kim, Minwoo Chae
2024 A conf
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable.
AISTATS
Hyeok Kyu Kwon, Minwoo Chae
2023 J jnl
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.
J. Mach. Learn. Res.
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin
2023 J jnl
Online learning for the Dirichlet process mixture model via weakly conjugate approximation.
Comput. Stat. Data Anal.
Kuhwan Jeong, Minwoo Chae, Yongdai Kim
2021 J jnl
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models.
CoRR
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin
2019 J jnl
On an algorithm for solving Fredholm integrals of the first kind.
Stat. Comput.
Minwoo Chae, Ryan Martin, Stephen G. Walker
2016 — conf
An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior.
ECML/PKDD (1)
Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung