3 papers
cs.AI2024
Learning Neural Strategy-Proof Matching Mechanism from Examples
Ryota Maruo, Koh Takeuchi, Hisashi Kashima
Designing two-sided matching mechanisms is challenging when practical demands for matching outcomes are difficult to formalize and the designed mechanism must satisfy theoretical c…
cs.AI2024
Learning Fair and Preferable Allocations through Neural Network
Ryota Maruo, Koh Takeuchi, Hisashi Kashima
The fair allocation of indivisible resources is a fundamental problem. Existing research has developed various allocation mechanisms or algorithms to satisfy different fairness not…
cs.GT2024
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
Ryota Maruo, Hisashi Kashima
We study the problem of achieving high efficiency in iterative combinatorial auctions (ICAs). ICAs are a kind of combinatorial auction where the auctioneer interacts with bidders t…