Lee, Jongyeong

7 publications

ICML 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

NeurIPS 2025 Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh

COLT 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

AAAI 2024 The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

ICML 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama

ACML 2023 Thompson Exploration with Best Challenger Rule in Best Arm Identification Jongyeong Lee, Junya Honda, Masashi Sugiyama

ICML 2019 On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama