Causal inference with observational data under cluster-specific non-ignorable assignment mechanism. - Gi-Soo Kim; Myunghee Cho Paik; Hongsoo Kim (Comput. Stat. Data Anal., 2017)

Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. - Gi-Soo Kim; Myunghee Cho Paik (ICML, 2019)

Doubly-Robust Lasso Bandit. - Gi-Soo Kim; Myunghee Cho Paik (NeurIPS, 2019)

Doubly Robust Thompson Sampling with Linear Payoffs. - Wonyoung Kim; Gi-Soo Kim; Myunghee Cho Paik (NeurIPS, 2021)

Robust Tests in Online Decision-Making. - Gi-Soo Kim; Jane P. Kim; Hyun-Joon Yang (AAAI, 2022)

Bandit-supported care planning for older people with complex health and care needs. - Gi-Soo Kim; Young Suh Hong; Tae Hoon Lee; Myunghee Cho Paik; Hongsoo Kim (AICAS, 2023)

Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model. - Young-Geun Choi; Gi-Soo Kim; Yunseo Choi; Wooseong Cho; Myunghee Cho Paik; Min-hwan Oh (ICML, 2023)

Heavy-tailed linear bandit with Huber regression. - Minhyun Kang; Gi-Soo Kim (UAI, 2023)

GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation. - Mubarrat Chowdhury; Elkhan Ismayilzada; Khalequzzaman Sayem; Gi-Soo Kim (CoRR, 2023)

Semi-parametric contextual bandits with graph-Laplacian regularization. - Young-Geun Choi; Gi-Soo Kim; Seunghoon Paik; Myunghee Cho Paik (Inf. Sci., 2023)

Mixed-Effects Contextual Bandits. - Kyungbok Lee; Myunghee Cho Paik; Min-hwan Oh; Gi-Soo Kim (AAAI, 2024)

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making. - Seok-Ju Hahn; Gi-Soo Kim; Junghye Lee (ICML, 2024)

Experimental Design for Semiparametric Bandits. - Seok-Jin Kim; Gi-Soo Kim; Min-hwan Oh (COLT, 2025)

TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery. - Yongkyung Oh; Giheon Koh; Jiin Kwak; Kyubo Shin; Gi-Soo Kim; Min Joung Lee; Hokyung Choung; Namju Kim; Jae Hoon Moon; Sungil Kim (Comput. Ind. Eng., 2025)