Demo Data from EDBT 2026 / reviewers in the wild / expert
Olivier Compte
dblp:63/11410
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorTheory of computation · 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 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › auction theory › ascending auction
english auction |
0.1 | 1 | 2012 | Efficiency of sequential english auctions with dynamic arrivals · EC 2012 |
Algorithmic game theory and mechanism design › auction theory
online auction |
0.1 | 1 | 2012 | Efficiency of sequential english auctions with dynamic arrivals · EC 2012 |
Algorithmic game theory and mechanism design › mechanism design › auction design › dynamic auction
sequential auction |
0.1 | 1 | 2012 | Efficiency of sequential english auctions with dynamic arrivals · EC 2012 |
Algorithmic game theory and mechanism design
welfare maximization |
0.1 | 1 | 2012 | Efficiency of sequential english auctions with dynamic arrivals · EC 2012 |
Methods — techniques the papers use, named apart from their topics
dynamic arrivals · 0.1approximation algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Efficiency of sequential english auctions with dynamic arrivalsabstractWe study a setting of online auctions with expiring/perishable items: $K$ items are sold sequentially, buyers arrive over time and have unit-demand. The goal is to maximize the social welfare (sum of winners' values). Most previously suggested mechanisms for this model are direct-revelation. In contrast, in real-life we usually see open mechanisms, most often a sequence of English auctions. We ask whether the previous optimal approximation bounds can be achieved using the more popular/realistic mechanism, or a small variant of it. We observe that a sequence of English auctions (the exact original format) does not guarantee any constant approximation, and describe two variants that bring back the approximation guarantee. Olivier Compte, Ron Lavi, Ella Segev |
EC | 1 |