Jung-hun Kim

1. Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
   2017/03/03 by Jung-hun Kim, Kim, Jung-hun, Se-Young Yun +9 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
2. Rotting Infinitely Many-armed Bandits
   2022/01/31 by Jung-hun Kim, Kim, Jung-hun, Milan Vojnović +3 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Optimization and Search Problems
3. An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
   2024/04/22 by Jung-hun Kim, Milan Vojnović, Kim, Jung-hun +3 · 1 citation
   Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)