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Wonyoung Kim
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Year
Doubly Robust Thompson Sampling with Linear Payoffs
W Kim, G Kim, MC Paik
Advances in Neural Information Processing Systems 34, 2021
162021
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Y Kwon, W Kim, JH Won, MC Paik
International Conference on Machine Learning, 5567-5576, 2020
132020
Double doubly robust thompson sampling for generalized linear contextual bandits
W Kim, K Lee, MC Paik
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8300-8307, 2023
112023
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
Y Kwon, W Kim, M Sugiyama, MC Paik
Machine Learning 109, 513-532, 2020
102020
Squeeze all: Novel estimator and self-normalized bound for linear contextual bandits
W Kim, MC Paik, MH Oh
International Conference on Artificial Intelligence and Statistics, 3098-3124, 2023
32023
Pareto Front Identification with Regret Minimization
W Kim, G Iyengar, A Zeevi
arXiv preprint arXiv:2306.00096, 2023
22023
Improved Algorithms for Multi-period Multi-class Packing Problems with~ Bandit~ Feedback
W Kim, G Iyengar, A Zeevi
arXiv preprint arXiv:2301.13791, 2023
22023
A Doubly Robust Approach to Sparse Reinforcement Learning
W Kim, G Iyengar, A Zeevi
arXiv preprint arXiv:2310.15286, 2023
2023
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Articles 1–8