Jongyeong Lee

According to our database, Jongyeong Lee authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Further Efficient Algorithm with Best-of-Both-Worlds Guarantees for m-Set Semi-Bandit Problem.

Botao Chen, Jongyeong Lee, Chansoo Kim, Junya Honda

CoRR, March, 2026

2025

Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality.

Chaiwon Kim, Jongyeong Lee, Min-hwan Oh

CoRR, October, 2025

Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems.

Botao Chen, Jongyeong Lee, Junya Honda

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 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

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

Thompson Exploration with Best Challenger Rule in Best Arm Identification.

Jongyeong Lee, Junya Honda, Masashi Sugiyama

Proceedings of the Asian 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