Demo Data from EDBT 2026 / reviewers in the wild / expert
Takehiro Kawasaki
dblp:239/8517
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › mechanism design
auction design |
0.4 | 1 | 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network · AAAI 2020 |
Algorithmic game theory and mechanism design
mechanism design |
0.4 | 1 | 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network · AAAI 2020 |
Algorithmic game theory and mechanism design › mechanism design › auction design
multi-unit auction |
0.4 | 1 | 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network · AAAI 2020 |
Algorithmic game theory and mechanism design › mechanism design › incentive compatibility
strategyproofness |
0.4 | 1 | 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network · AAAI 2020 |
Methods — techniques the papers use, named apart from their topics
mechanism design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social NetworkabstractAuctions via social network, pioneered by Li et al. (2017), have been attracting considerable attention in the literature of mechanism design for auctions. However, no known mechanism has satisfied strategy-proofness, non-deficit, non-wastefulness, and individual rationality for the multi-unit unit-demand auction, except for some naïve ones. In this paper, we first propose a mechanism that satisfies all the above properties. We then make a comprehensive comparison with two naïve mechanisms, showing that the proposed mechanism dominates them in social surplus, seller's revenue, and incentive of buyers for truth-telling. We also analyze the characteristics of the social surplus and the revenue achieved by the proposed mechanism, including the constant approximability of the worst-case efficiency loss and the complexity of optimizing revenue from the seller's perspective. Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo |
AAAI | 1 |