activity
20182021
most citedOnline Dense Subgraph Discovery via Blurred-Graph Feedback

10 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Combinatorial Pure Exploration with Bottleneck Reward Function

Yihan Du, Yuko Kuroki, Wei Chen

In this paper, we study the Combinatorial Pure Exploration problem with the Bottleneck reward function (CPE-B) under the fixed-confidence (FC) and fixed-budget (FB) settings. In CP…

cs.LG202010 cited

Online Dense Subgraph Discovery via Blurred-Graph Feedback

Yuko Kuroki, Atsushi Miyauchi, Junya Honda +1

Dense subgraph discovery aims to find a dense component in edge-weighted graphs. This is a fundamental graph-mining task with a variety of applications and thus has received much a…

cs.LG2020

Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback

Yihan Du, Yuko Kuroki, Wei Chen

In this paper, we first study the problem of combinatorial pure exploration with full-bandit feedback (CPE-BL), where a learner is given a combinatorial action space $\mathcal{X} \…

cs.GT2019

Non-zero-sum Stackelberg Budget Allocation Game for Computational Advertising

Daisuke Hatano, Yuko Kuroki, Yasushi Kawase +3

Computational advertising has been studied to design efficient marketing strategies that maximize the number of acquired customers. In an increased competitive market, however, a m…

cs.DM2018

A constant-ratio approximation algorithm for a class of hub-and-spoke network design problems and metric labeling problems: star metric case

Yuko Kuroki, Tomomi Matsui

Transportation networks frequently employ hub-and-spoke network architectures to route flows between many origin and destination pairs. Hub facilities work as switching points for…