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cs.GT2024

Parameterized Voter Relevance in Facility Location Games with Tree-Shaped Invitation Graphs

Ryoto Ando, Kei Kimura, Taiki Todo +1

Diffusion mechanism design, which investigate how to incentivise agents to invite as many colleagues to a multi-agent decision making as possible, is a new research paradigm at the…

cs.GT2024

Weighted Envy-free Allocation with Subsidy

Haris Aziz, Xin Huang, Kei Kimura +4

We consider the problem of fair allocation of indivisible items with subsidies when agents have weighted entitlements. After highlighting several important differences from the unw…

cs.GT2024

Analyzing Incentives and Fairness in Ordered Weighted Average for Facility Location Games

Kento Yoshida, Kei Kimura, Taiki Todo +1

Facility location games provide an abstract model of mechanism design. In such games, a mechanism takes a profile of single-peaked preferences over an interval as an input and…

cs.GT2024

Multi-Stage Generalized Deferred Acceptance Mechanism: Strategyproof Mechanism for Handling General Hereditary Constraints

Kei Kimura, Kwei-guu Liu, Zhaohong Sun +2

The theory of two-sided matching has been extensively developed and applied to many real-life application domains. As the theory has been applied to increasingly diverse types of e…

cs.LG2024

Online -Convex Minimization

Ken Yokoyama, Shinji Ito, Tatsuya Matsuoka +2

An online decision-making problem is a learning problem in which a player repeatedly makes decisions in order to minimize the long-term loss. These problems that emerge in applicat…