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Young-Han Kim

4 papers hereh-index 338 citations14 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT3
  • cs.IR1
same name
  • Young-Han Kim — 13 papers, h 30
  • Young-Han Kim — 4 papers
  • Young-Han Kim — 3 papers, h 3
  • Young-Han Kim — 2 papers, h 8

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

most citedEnergy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning

8 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IT2022★ 1 cited

An Information-Theoretic Proof of the Kac--Bernstein Theorem

J. Jon Ryu, Young-Han Kim

A short, information-theoretic proof of the Kac--Bernstein theorem, which is stated as follows, is presented: For any independent random variables X and Y, if X+Y and X−Y a…

cs.IT2022

On Universal Portfolios with Continuous Side Information

Alankrita Bhatt, J. Jon Ryu, Young-Han Kim

A new portfolio selection strategy that adapts to a continuous side-information sequence is presented, with a universal wealth guarantee against a class of state-constant rebalance…

cs.IT2022★ 1 cited

Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting

J. Jon Ryu, Alankrita Bhatt, Young-Han Kim

A class of parameter-free online linear optimization algorithms is proposed that harnesses the structure of an adversarial sequence by adapting to some side information. These algo…

cs.IR2017★ 8 cited

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning

Jaeyoon Yoo, Heonseok Ha, Jihun Yi +5

Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user. Towards this goal, energy-…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.