Myunghee Cho Paik

34 papers A* 8A 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy. CoRR Kyungbok Lee, Myunghee Cho Paik
2024	A*	`conf`	Mixed-Effects Contextual Bandits. AAAI Kyungbok Lee, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim
2023	—	`conf`	Bandit-supported care planning for older people with complex health and care needs. AICAS Gi-Soo Kim, Young Suh Hong, Tae Hoon Lee, Myunghee Cho Paik, Hongsoo Kim
2023	J	`jnl`	Bandit-supported care planning for older people with complex health and care needs. CoRR Gi-Soo Kim, Young Suh Hong, Tae Hoon Lee, Myunghee Cho Paik, Hongsoo Kim
2023	J	`jnl`	Conditional Wasserstein Generator. IEEE Trans. Pattern Anal. Mach. Intell. Young-geun Kim, Kyungbok Lee, Myunghee Cho Paik
2023	A*	`conf`	Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. AAAI Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik
2023	A*	`conf`	Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model. ICML Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh
2023	J	`jnl`	Semi-parametric contextual bandits with graph-Laplacian regularization. Inf. Sci. Young-Geun Choi, Gi-Soo Kim, Seunghoon Paik, Myunghee Cho Paik
2023	A	`conf`	Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. AISTATS Wonyoung Kim, Myunghee Cho Paik, Min-hwan Oh
2023	J	`jnl`	Wasserstein Geodesic Generator for Conditional Distributions. CoRR Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik
2022	J	`jnl`	Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. CoRR Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik
2022	J	`jnl`	Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization. CoRR Young-Geun Choi, Gi-Soo Kim, Seunghoon Paik, Myunghee Cho Paik
2022	J	`jnl`	Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. CoRR Wonyoung Kim, Min-hwan Oh, Myunghee Cho Paik
2021	J	`jnl`	Doubly Robust Thompson Sampling for linear payoffs. CoRR Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik
2021	A*	`conf`	Doubly Robust Thompson Sampling with Linear Payoffs. NeurIPS Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik
2021	A*	`conf`	Kernel-convoluted Deep Neural Networks with Data Augmentation. AAAI Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik
2020	J	`jnl`	Kernel-convoluted Deep Neural Networks with Data Augmentation. CoRR Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik
2020	A	`conf`	Lipschitz Continuous Autoencoders in Application to Anomaly Detection. AISTATS Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik
2020	J	`jnl`	Principled Learning Method for Wasserstein distributionally robust optimization with local perturbations. CoRR Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik
2020	J	`jnl`	Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric. Mach. Learn. Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik
2020	A*	`conf`	Principled learning method for Wasserstein distributionally robust optimization with local perturbations. ICML Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik
2020	J	`jnl`	Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation. Comput. Stat. Data Anal. Yongchan Kwon, Joong-Ho Won, Beomjoon Kim, Myunghee Cho Paik
2019	J	`jnl`	An analytic formulation for positive-unlabeled learning via weighted integral probability metric. CoRR Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik
2019	A*	`conf`	Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. ICML Gi-Soo Kim, Myunghee Cho Paik
2019	J	`jnl`	Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. CoRR Gi-Soo Kim, Myunghee Cho Paik
2019	A*	`conf`	Doubly-Robust Lasso Bandit. NeurIPS Gi-Soo Kim, Myunghee Cho Paik
2019	J	`jnl`	Doubly-Robust Lasso Bandit. CoRR Gi-Soo Kim, Myunghee Cho Paik
2019	J	`jnl`	Valid oversampling schemes to handle imbalance. Pattern Recognit. Lett. Young-geun Kim, Yongchan Kwon, Myunghee Cho Paik
2017	J	`jnl`	Causal inference with observational data under cluster-specific non-ignorable assignment mechanism. Comput. Stat. Data Anal. Gi-Soo Kim, Myunghee Cho Paik, Hongsoo Kim
2017	J	`jnl`	Generalized estimating equations with stabilized working correlation structure. Comput. Stat. Data Anal. Yongchan Kwon, Young-Geun Choi, Taesung Park, Andreas Ziegler, Myunghee Cho Paik
2016	—	`conf`	Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. BrainLes@MICCAI Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won
2016	J	`jnl`	Using link-preserving imputation for logistic partially linear models with missing covariates. Comput. Stat. Data Anal. Qixuan Chen, Myunghee Cho Paik, Minjin Kim, Cuiling Wang
2013	J	`jnl`	Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. Comput. Stat. Data Anal. Donghwan Lee, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward
2012	J	`jnl`	Semiparametric model for the dichotomized functional outcome after stroke: The Northern Manhattan Study. Comput. Stat. Data Anal. Huaihou Chen, Myunghee Cho Paik, Mandip S. Dhamoon, Yeseon Park Moon, Joshua Willey, Ralph L. Sacco, Mitchell S. V. Elkind