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Hiroshi Ohno

2 papers hereh-index 26 citations9 works total

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

author position
  • sole author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • quant-ph1
  • stat.ML1
same name
  • Hiroshi Ohno — 7 papers, h 2
  • Hiroshi Ohno — 7 papers, h 2
  • Hiroshi Ohno — 3 papers, h 2
  • Hiroshi Ohno — 1 paper, h 15
  • Hiroshi Ohno — 1 paper

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

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2024

Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward, and more

Nobuaki Kikkawa, Hiroshi Ohno

The upper confidence bound (UCB) policy is recognized as an order-optimal solution for the classical total-reward bandit problem. While similar UCB-based approaches have been appli…

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