Jung-hun Kim (김정훈) [CV]
Postdoctoral Researcher at CREST, ENSAE Paris, FairPlay team 
junghunkim7786@gmail.com | junghun.kim@ensae.fr
[Linkedin], [Google Scholar]

Research Overview 
I work on online learning and decision-making, with a focus on bandit algorithms for matching, dynamic pricing, and recommendation. My research combines theoretical guarantees with practical insights, and has been published at ICML, NeurIPS, ICLR, and AISTATS.

Academic Positions

• Postdoctoral Researcher, CREST, ENSAE Paris, FairPlay team, France
  June 2025 - Present
  Supervisor: Vianney Perchet

• Postdoctoral Researcher, IDIS, Seoul National University, South Korea
  Sep 2023 - May 2025
  Supervisor: Min-hwan Oh

• Ph.D. in Industrial and Systems Engineering, KAIST,  South Korea
  Sep 2018 - Aug 2023
  Advisor: Se-Young Yun

• Research intern, Department of Statistics, London School of Economics, UK
  Mar 2021 - Jul 2021
  Supervisor: Milan Vojnović

Publications

• [ICML 2025] Tracking Most Significant Shifts in Infinite-Armed Bandits

Joe Suk, Jung-hun Kim

• [ICLR 2025] Dynamic Assortment Selection and Pricing with Censored Preference Feedback

    Jung-hun Kim, Min-hwan Oh 

• [NeurIPS 2024] Queueing Matching Bandits with Preference Feedback

    Jung-hun Kim, Min-hwan Oh 

• [NeurIPS 2024] An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints

Jung-hun Kim, Milan Vojnović, Se-Young Yun 

• [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 Vojnović, Se-Young Yun 

• [IEEE BigData 2018] Research Hypothesis Generation using Link Prediction in a Bipartite Graph

Jung-hun Kim, Aviv Segev

Working Papers 

• Matching Optimization + Preference Feedback
  Jung-hun Kim, Min-hwan Oh

• Scheduling + Bilinear Rewards
  Jung-hun Kim, Milan Vojnović

• Switching Regret + Adversarial Bandits
  Jung-hun Kim, Se-Young Yun

Academic Activities

• • Reviewer: NeurIPS, ICML, ICLR, AISTATS, JMLR, CDC, AAAI