Kim, Jung-Hun

8 publications

TMLR 2025 Adversarial Bandits Against Arbitrary Strategies Jung-hun Kim, Se-Young Yun

ICLR 2025 Dynamic Assortment Selection and Pricing with Censored Preference Feedback Jung-hun Kim, Min-hwan Oh

NeurIPS 2025 Oracle-Efficient Combinatorial Semi-Bandits Jung-hun Kim, Milan Vojnovic, Min-hwan Oh

ICML 2025 Tracking Most Significant Shifts in Infinite-Armed Bandits Joe Suk, Jung-Hun Kim

NeurIPS 2024 An Adaptive Approach for Infinitely Many-Armed Bandits Under Generalized Rotting Constraints Jung-hun Kim, Milan Vojnović, Se-Young Yun

NeurIPS 2024 Queueing Matching Bandits with Preference Feedback Jung-hun Kim, Min-hwan Oh

AISTATS 2023 Contextual Linear Bandits Under Noisy Features: Towards Bayesian Oracles Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes

ICML 2022 Rotting Infinitely Many-Armed Bandits Jung-Hun Kim, Milan Vojnovic, Se-Young Yun