Chae, Minwoo

8 publications

ICLR 2026 Distributionally Robust Classification for Multi-Source Unsupervised Domain Adaptation Seonghwi Kim, Sung Ho Jo, Wooseok Ha, Minwoo Chae

ICLR 2026 Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets Sung Ho Jo, Seonghwi Kim, Minwoo Chae

ICLR 2026 Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis Junhyeok Choi, Sangwoo Mo, Minwoo Chae

NeurIPS 2025 A Bayesian Approach to Contextual Dynamic Pricing Using the Proportional Hazards Model with Discrete Price Data Dongguen Kim, Young-Geun Choi, Minwoo Chae

TMLR 2025 Fairness Through Matching Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim

AISTATS 2024 Minimax Optimal Density Estimation Using a Shallow Generative Model with a One-Dimensional Latent Variable Hyeok Kyu Kwon, Minwoo Chae

JMLR 2023 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin

ECML-PKDD 2016 An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung