Jongyeong Lee - RankMe

18 papers A* 5C 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Further Efficient Algorithm with Best-of-Both-Worlds Guarantees for m-Set Semi-Bandit Problem. CoRR Botao Chen, Jongyeong Lee, Chansoo Kim, Junya Honda
2025	J	`jnl`	Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality. CoRR Chaiwon Kim, Jongyeong Lee, Min-hwan Oh
2025	A*	`conf`	Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems. ICML Botao Chen, Jongyeong Lee, Junya Honda
2025	J	`jnl`	Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems. CoRR Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh
2024	A*	`conf`	Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds. COLT Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh
2024	J	`jnl`	Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds. CoRR Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh
2024	A*	`conf`	The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models. AAAI Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
2023	J	`jnl`	Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits. CoRR Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
2023	A*	`conf`	Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. ICML Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama
2023	J	`jnl`	Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. CoRR Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama
2023	C	`conf`	Thompson Exploration with Best Challenger Rule in Best Arm Identification. ACML Jongyeong Lee, Junya Honda, Masashi Sugiyama
2023	J	`jnl`	Thompson Exploration with Best Challenger Rule in Best Arm Identification. CoRR Jongyeong Lee, Junya Honda, Masashi Sugiyama
2021	J	`jnl`	A Symmetric Loss Perspective of Reliable Machine Learning. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
2019	J	`jnl`	Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation. CoRR Jongyeong Lee, Nontawat Charoenphakdee, Seiichi Kuroki, Masashi Sugiyama
2019	—	`conf`	Learning Only from Relevant Keywords and Unlabeled Documents. EMNLP/IJCNLP (1) Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama
2019	J	`jnl`	Learning Only from Relevant Keywords and Unlabeled Documents. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama
2019	A*	`conf`	On Symmetric Losses for Learning from Corrupted Labels. ICML Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
2019	J	`jnl`	On Symmetric Losses for Learning from Corrupted Labels. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama