Demo Data from VLDB 2026 / reviewers in the wild / expert
Nina Bobkova
dblp:259/0572
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—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 3 heaviest of 3, 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 | Information Choice in Auctions · EC 2020 |
Algorithmic game theory and mechanism design › mechanism design › auction design
common value auction |
0.4 | 1 | 2020 | Information Choice in Auctions · EC 2020 |
Algorithmic game theory and mechanism design › decision theory
information acquisition |
0.4 | 1 | 2020 | Information Choice in Auctions · EC 2020 |
Methods — techniques the papers use, named apart from their topics
game theory · 0.4equilibrium analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Information Choice in AuctionsabstractBidders are uncertain about their valuation for an object and choose about which component to learn. Their valuation consists of a common value component (which matters to all bidders) and a private value component (which is relevant only to individual bidders). Learning about a private component yields independent estimates, whereas learning about a common component leads to correlated information between bidders. I analyze the incentives of bidders to choose information about components in the second-price, the first-price and the all-pay auction. I identify conditions for the second-price auction, such that bidders only learn about their private component: an independent private value framework and an efficient outcome arise endogenously. In a first-price auction, every robust equilibrium is inefficient under certain conditions. Nina Bobkova |
EC | 1 |