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Masakazu Ishihata

8 papers hereh-index 11563 citations38 works total

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

author position
  • first author1
  • middle author4
  • last author2

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • stat.ML2
  • cs.LG1
  • physics.comp-ph1
same name
  • Masakazu Ishihata — 2 papers, h 0
  • Masakazu Ishihata — 1 paper, h 0

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
20162022
most citedHigher-Order Factorization Machines

51 citations · 98 across the 8 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2022

Computing NP-hard Repetitiveness Measures via MAX-SAT

Hideo Bannai, Keisuke Goto, Masakazu Ishihata +3

Repetitiveness measures reveal profound characteristics of datasets, and give rise to compressed data structures and algorithms working in compressed space. Alas, the computation o…

cs.DS2018★ 3 cited

Algorithmic Meta-Theorems for Monotone Submodular Maximization

Masakazu Ishihata, Takanori Maehara, Tomas Rigaux

We consider a monotone submodular maximization problem whose constraint is described by a logic formula on a graph. Formally, we prove the following three `algorithmic metatheorems…

cs.DS2017★ 1 cited

Practical Adversarial Combinatorial Bandit Algorithm via Compression of Decision Sets

Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato

We consider the adversarial combinatorial multi-armed bandit (CMAB) problem, whose decision set can be exponentially large with respect to the number of given arms. To avoid dealin…

cs.DS2017★ 2 cited

Exact Computation of Influence Spread by Binary Decision Diagrams

Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata

Evaluating influence spread in social networks is a fundamental procedure to estimate the word-of-mouth effect in viral marketing. There are enormous studies about this topic; howe…

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