Jongyeong Lee

According to our database, Jongyeong Lee authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds.

Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh

CoRR, 2024

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models.

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Thompson Exploration with Best Challenger Rule in Best Arm Identification.

Jongyeong Lee, Junya Honda, Masashi Sugiyama

CoRR, 2023

Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits.

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

CoRR, 2023

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits.

Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama

Proceedings of the International Conference on Machine Learning, 2023

2021

A Symmetric Loss Perspective of Reliable Machine Learning.

Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

CoRR, 2021

2019

Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation.

Jongyeong Lee, Nontawat Charoenphakdee, Seiichi Kuroki, Masashi Sugiyama

CoRR, 2019

On Symmetric Losses for Learning from Corrupted Labels.

Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Only from Relevant Keywords and Unlabeled Documents.

Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019