Jongyeong Lee

Orcid: 0000-0003-4042-1750

According to our database1, Jongyeong Lee authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds.
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.
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.
CoRR, 2023

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Thompson Exploration with Best Challenger Rule in Best Arm Identification.
Proceedings of the Asian Conference on Machine Learning, 2023

2021
A Symmetric Loss Perspective of Reliable Machine Learning.
CoRR, 2021

2019
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation.
CoRR, 2019

On Symmetric Losses for Learning from Corrupted Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Only from Relevant Keywords and Unlabeled Documents.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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