Jongyeong Lee

2019202020212022202320247 22 34 25 27 14

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Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Nontawat CharoenphakdeeResearcher, Preferred NetworksVerified email at preferred.jp
Junya HondaKyoto University / RIKENVerified email at i.kyoto-u.ac.jp
Min-hwan OhSeoul National UniversityVerified email at snu.ac.kr
Chao-Kai ChiangProject Assistant Professor, Sugiyama-Yokoya-Ishida Lab, University of TokyoVerified email at edu.k.u-tokyo.ac.jp

Jongyeong Lee

Verified email at snu.ac.kr - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On Symmetric Losses for Learning from Corrupted Labels N Charoenphakdee, J Lee, M Sugiyama ICML 2019, 2019	106	2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation J Lee, N Charoenphakdee, S Kuroki, M Sugiyama arXiv preprint arXiv:1901.10654, 2019	7	2019
Learning Only from Relevant Keywords and Unlabeled Documents N Charoenphakdee, J Lee, Y Jin, D Wanvarie, M Sugiyama EMNLP-IJCNLP 2019, 2019	6	2019
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits J Lee, J Honda, CK Chiang, M Sugiyama ICML 2023, 2023	5	2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification J Lee, J Honda, M Sugiyama ACML 2023, 2023	3	2023
A Symmetric Loss Perspective of Reliable Machine Learning N Charoenphakdee, J Lee, M Sugiyama arXiv preprint arXiv:2101.01366, 2021	2	2021
Follow-the-Perturbed-Leader with Fr\'{e} chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds J Lee, J Honda, S Ito, M Oh COLT 2024, 2024		2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models J Lee, CK Chiang, M Sugiyama AAAI 2024, 2023		2023

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