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Jung-hun Kim

7 papers hereh-index 216 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI1
  • cs.GT1
  • stat.ML1
same name
  • Jung-hun Kim — 4 papers, h 1
  • Jung-hun Kim — 1 paper, h 1
  • Jung-Hun Kim — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Asymptotically Optimal Learning for Parametric Prophet Inequalities

Jung-hun Kim, Anna Grebennikova, Vianney Perchet

We study learning in prophet inequalities with i.i.d. rewards drawn from an exponential-type parametric family with an unknown parameter θ, a class that includes exponential, Par…

cs.LG2024

An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints

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

In this study, we consider the infinitely many-armed bandit problems in a rested rotting setting, where the mean reward of an arm may decrease with each pull, while otherwise, it r…

cs.LG2022

Adversarial Bandits against Arbitrary Strategies

Jung-hun Kim, Se-Young Yun

We study the adversarial bandit problem against arbitrary strategies, where the difficulty is captured by an unknown parameter S, which is the number of switches in the best arm…

cs.LG2022

Rotting Infinitely Many-armed Bandits

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

We consider the infinitely many-armed bandit problem with rotting rewards, where the mean reward of an arm decreases at each pull of the arm according to an arbitrary trend with ma…

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