activity
20152023
most citedZ-score-based modularity for community detection in networks

93 citations · 202 across the 25 of their papers we have counts for

collaborators

29 papers

cs.GT2023★ 3 cited

Towards Optimal Subsidy Bounds for Envy-freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita +2

We study the fair division of indivisible items with subsidies among agents, where the absolute marginal valuation of each item is at most one. Under monotone valuations (where…

cs.GT2023

Fair Allocation with Binary Valuations for Mixed Divisible and Indivisible Goods

Yasushi Kawase, Koichi Nishimura, Hanna Sumita

The fair allocation of mixed goods, consisting of both divisible and indivisible goods, has been a prominent topic of study in economics and computer science. We define an allocati…

cs.GT2023

Size-stochastic Knapsack Online Contention Resolution Schemes

Toru Yoshinaga, Yasushi Kawase

Online contention resolution schemes (OCRSs) are effective rounding techniques for online stochastic combinatorial optimization problems. These schemes randomly and sequentially ro…

cs.SI2022★ 8 cited

Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks

Yasushi Kawase, Atsushi Miyauchi, Hanna Sumita

Network analysis has played a key role in knowledge discovery and data mining. In many real-world applications in recent years, we are interested in mining multilayer networks, whe…

cs.GT2022

Optimal design of lottery with cumulative prospect theory

Shunta Akiyama, Mitsuaki Obara, Yasushi Kawase

Lotteries are a prevalent form of gambling between a seller and buyers. Designing a lottery requires a model of how buyers make decisions when confronted with uncertain outcomes. C…

cs.GT2022★ 1 cited

Random Assignment of Indivisible Goods under Constraints

Yasushi Kawase, Hanna Sumita, Yu Yokoi

We investigate the problem of random assignment of indivisible goods, in which each agent has an ordinal preference and a constraint. Our goal is to characterize the conditions und…

cs.GT2022

Fair Division with Two-Sided Preferences

Ayumi Igarashi, Yasushi Kawase, Warut Suksompong +1

We study a fair division setting in which participants are to be fairly distributed among teams, where not only do the teams have preferences over the participants as in the canoni…

cs.GT2021★ 1 cited

Online Max-min Fair Allocation

Yasushi Kawase, Hanna Sumita

We study an online version of the max-min fair allocation problem for indivisible items. In this problem, items arrive one by one, and each item must be allocated irrevocably on ar…

cs.GT2021

Fair and Truthful Mechanism with Limited Subsidy

Hiromichi Goko, Ayumi Igarashi, Yasushi Kawase +5

The notion of \emph{envy-freeness} is a natural and intuitive fairness requirement in resource allocation. With indivisible goods, such fair allocations are unfortunately not guara…

cs.GT2020★ 2 cited

Fair Ride Allocation on a Line

Yuki Amano, Ayumi Igarashi, Yasushi Kawase +2

The airport game is a classical and well-known model of fair cost-sharing for a single facility among multiple agents. This paper extends it to the so-called assignment setting, th…

cs.DS2019

Online Knapsack Problems with a Resource Buffer

Xin Han, Yasushi Kawase, Kazuhisa Makino +1

In this paper, we introduce online knapsack problems with a resource buffer. In the problems, we are given a knapsack with capacity , a buffer with capacity , and items…

cs.GT2019★ 6 cited

Approximately Stable Matchings with General Constraints

Yasushi Kawase, Atsushi Iwasaki

This paper focuses on two-sided matching where one side (a hospital or firm) is matched to the other side (a doctor or worker) so as to maximize a cardinal objective under general…

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.SI2019★ 17 cited

Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation

Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi

Aggregating responses from crowd workers is a fundamental task in the process of crowdsourcing. In cases where a few experts are overwhelmed by a large number of non-experts, most…

cs.DS2018

Tight Approximation for Unconstrained XOS Maximization

Yuval Filmus, Yasushi Kawase, Yusuke Kobayashi +1

A set function is called XOS if it can be represented by the maximum of additive functions. When such a representation is fixed, the number of additive functions required to define…

math.CO2018★ 3 cited

Finding a Path with Two Labels Forbidden in Group-Labeled Graphs

Yasushi Kawase, Yusuke Kobayashi, Yutaro Yamaguchi

The parity of the length of paths and cycles is a classical and well-studied topic in graph theory and theoretical computer science. The parity constraints can be extended to label…

cs.DS2018★ 3 cited

Randomized Strategies for Robust Combinatorial Optimization

Yasushi Kawase, Hanna Sumita

In this paper, we study the following robust optimization problem. Given an independence system and candidate objective functions, we choose an independent set, and then an adversa…

cs.GT2018★ 1 cited

Subgame Perfect Equilibria of Sequential Matching Games

Yasushi Kawase, Yutaro Yamaguchi, Yu Yokoi

We study a decentralized matching market in which firms sequentially make offers to potential workers. For each offer, the worker can choose "accept" or "reject," but the decision…

cs.DS2018

Submodular maximization with uncertain knapsack capacity

Yasushi Kawase, Hanna Sumita, Takuro Fukunaga

We consider the maximization problem of monotone submodular functions under an uncertain knapsack constraint. Specifically, the problem is discussed in the situation that the knaps…

cs.GT2017★ 6 cited

Approximately Stable Matchings with Budget Constraints

Yasushi Kawase, Atsushi Iwasaki

This paper considers two-sided matching with budget constraints where one side (firm or hospital) can make monetary transfers (offer wages) to the other (worker or doctor). In a st…

cs.DS2017

Optimal Matroid Partitioning Problems

Yasushi Kawase, Kei Kimura, Kazuhisa Makino +1

This paper studies optimal matroid partitioning problems for various objective functions. In the problem, we are given a finite set and weighted matroids $(E, \mathcal{I}_i…

cs.DS2017

Stochastic Input Models in Online Computing

Yasushi Kawase

In this paper, we study twelve stochastic input models for online problems and reveal the relationships among the competitive ratios for the models. The competitive ratio is define…

cs.GT2017★ 21 cited

Near-Feasible Stable Matchings with Budget Constraints

Yasushi Kawase, Atsushi Iwasaki

We consider the matching with contracts framework of Hatfield and Milgrom when one side (a firm or hospital) can make monetary transfers (offer wages) to the other (a worker or doc…

math.CO2017

Antimatroids Induced by Matchings

Yasushi Kawase, Yutaro Yamaguchi

We explore novel connections between antimatroids and matchings in bipartite graphs. In particular, we prove that a combinatorial structure induced by stable matchings or maximum-w…