Semiparametric model for the dichotomized functional outcome after stroke: The Northern Manhattan Study. - Huaihou Chen; Myunghee Cho Paik; Mandip S. Dhamoon; Yeseon Park Moon; Joshua Willey; Ralph L. Sacco; Mitchell S. V. Elkind (Comput. Stat. Data Anal., 2012)

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. - Donghwan Lee 001; Youngjo Lee 001; Myunghee Cho Paik; Michael G. Kenward (Comput. Stat. Data Anal., 2013)

Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. - Youngwon Choi; Yongchan Kwon; Han-Byul Lee; Beomjoon Kim; Myunghee Cho Paik; Joong-Ho Won (BrainLes@MICCAI, 2016)

Using link-preserving imputation for logistic partially linear models with missing covariates. - Qixuan Chen; Myunghee Cho Paik; Minjin Kim; Cuiling Wang (Comput. Stat. Data Anal., 2016)

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)

Generalized estimating equations with stabilized working correlation structure. - Yongchan Kwon; Young-Geun Choi; Taesung Park; Andreas Ziegler 001; Myunghee Cho Paik (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)

An analytic formulation for positive-unlabeled learning via weighted integral probability metric. - Yongchan Kwon; Wonyoung Kim; Masashi Sugiyama; Myunghee Cho Paik (CoRR, 2019)

Valid oversampling schemes to handle imbalance. - Young-geun Kim 002; Yongchan Kwon; Myunghee Cho Paik (Pattern Recognit. Lett., 2019)

Lipschitz Continuous Autoencoders in Application to Anomaly Detection. - Young-geun Kim 002; Yongchan Kwon; Hyunwoong Chang; Myunghee Cho Paik (AISTATS, 2020)

Principled learning method for Wasserstein distributionally robust optimization with local perturbations. - Yongchan Kwon; Wonyoung Kim; Joong-Ho Won; Myunghee Cho Paik (ICML, 2020)

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation. - Yongchan Kwon; Joong-Ho Won; Beomjoon Kim; Myunghee Cho Paik (Comput. Stat. Data Anal., 2020)

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric. - Yongchan Kwon; Wonyoung Kim; Masashi Sugiyama; Myunghee Cho Paik (Mach. Learn., 2020)

Kernel-convoluted Deep Neural Networks with Data Augmentation. - Minjin Kim; Young-geun Kim 002; Dongha Kim; Yongdai Kim; Myunghee Cho Paik (AAAI, 2021)

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

Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. - Wonyoung Kim; Kyungbok Lee; Myunghee Cho Paik (AAAI, 2023)

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)

Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. - Wonyoung Kim; Myunghee Cho Paik; Min-hwan Oh (AISTATS, 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)

Wasserstein Geodesic Generator for Conditional Distributions. - Young-geun Kim 002; Kyungbok Lee; Youngwon Choi; Joong-Ho Won; Myunghee Cho Paik (CoRR, 2023)

Conditional Wasserstein Generator. - Young-geun Kim 002; Kyungbok Lee; Myunghee Cho Paik (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy. - Kyungbok Lee; Myunghee Cho Paik (CoRR, 2024)