Myunghee Cho Paik
Orcid: 0000-0001-6239-4883
According to our database1,
Myunghee Cho Paik
authored at least 24 papers
between 2012 and 2024.
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Inf. Sci., October, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Proceedings of the International Conference on Machine Learning, 2023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric.
Mach. Learn., 2020
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation.
Comput. Stat. Data Anal., 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
An analytic formulation for positive-unlabeled learning via weighted integral probability metric.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2017
Comput. Stat. Data Anal., 2017
Causal inference with observational data under cluster-specific non-ignorable assignment mechanism.
Comput. Stat. Data Anal., 2017
2016
Using link-preserving imputation for logistic partially linear models with missing covariates.
Comput. Stat. Data Anal., 2016
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
2013
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., 2013
2012
Semiparametric model for the dichotomized functional outcome after stroke: The Northern Manhattan Study.
Comput. Stat. Data Anal., 2012