◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Koki Hamada

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • cs.DS2
  • cs.CR1
  • cs.GT1

identity via Semantic Scholar / OpenAlex

activity
20192021
collaborators

4 papers

cs.DS2021

Refined Computational Complexities of Hospitals/Residents Problem with Regional Caps

Koki Hamada, Shuichi Miyazaki

The Hospitals/Residents problem (HR) is a many-to-one matching problem whose solution concept is stability. It is widely used in assignment systems such as assigning medical studen…

cs.CR2021

Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation

Nuttapong Attrapadung, Koki Hamada, Dai Ikarashi +5

Privacy-preserving machine learning (PPML) aims at enabling machine learning (ML) algorithms to be used on sensitive data. We contribute to this line of research by proposing a fra…

cs.DS2020

Strongly Stable and Maximum Weakly Stable Noncrossing Matchings

Koki Hamada, Shuichi Miyazaki, Kazuya Okamoto

In IWOCA 2019, Ruangwises and Itoh introduced stable noncrossing matchings, where participants of each side are aligned on each of two parallel lines, and no two matching edges are…

cs.GT2019

Strategy-Proof Approximation Algorithms for the Stable Marriage Problem with Ties and Incomplete Lists

Koki Hamada, Shuichi Miyazaki, Hiroki Yanagisawa

In the stable marriage problem (SM), a mechanism that always outputs a stable matching is called a stable mechanism. One of the well-known stable mechanisms is the man-oriented Gal…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.