Jongyeong Lee 个人学术档案

2019202020212022202320247 21 34 25 30 16

开放获取的出版物数量

1 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Nontawat CharoenphakdeeResearcher, Preferred Networks在 preferred.jp 的电子邮件经过验证
Junya HondaKyoto University / RIKEN在 i.kyoto-u.ac.jp 的电子邮件经过验证
Min-hwan OhSeoul National University在 snu.ac.kr 的电子邮件经过验证
Shinji ItoThe University of Tokyo在 mist.i.u-tokyo.ac.jp 的电子邮件经过验证
Chao-Kai ChiangProject Assistant Professor, Sugiyama-Yokoya-Ishida Lab, University of Tokyo在 edu.k.u-tokyo.ac.jp 的电子邮件经过验证

Jongyeong Lee

在 snu.ac.kr 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
On Symmetric Losses for Learning from Corrupted Labels N Charoenphakdee, J Lee, M Sugiyama ICML 2019, 2019	107	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	8	2019
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits J Lee, J Honda, CK Chiang, M Sugiyama ICML 2023, 2023	6	2023
Learning Only from Relevant Keywords and Unlabeled Documents N Charoenphakdee, J Lee, Y Jin, D Wanvarie, M Sugiyama EMNLP-IJCNLP 2019, 2019	6	2019
Thompson Exploration with Best Challenger Rule in Best Arm Identification J Lee, J Honda, M Sugiyama ACML 2023, 2023	4	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

系统目前无法执行此操作，请稍后再试。

文章 1–8

每年引用数