EDBT 2026 Demo / reviewers in the wild / expert
Sophie Bade
dblp:40/11121
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-2102-4293ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Theory of computation · 2 · 1 first-author · 1 since 2021
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
2 papers |
Algorithmic game theory and mechanism design · 98% Distributed computing theory · 2% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
mechanism design |
0.7 | 2 | 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided Matching · EC 2023 Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness · EC 2017 |
Algorithmic game theory and mechanism design › matching
fair matching |
0.7 | 1 | 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided Matching · EC 2023 |
Algorithmic game theory and mechanism design › social choice › strategic voting
group strategyproofness |
0.7 | 1 | 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided Matching · EC 2023 |
Algorithmic game theory and mechanism design › market design
matching markets |
0.7 | 1 | 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided Matching · EC 2023 |
Algorithmic game theory and mechanism design › market design › matching markets
two-sided matching |
0.7 | 1 | 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided Matching · EC 2023 |
Algorithmic game theory and mechanism design
social choice |
0.3 | 1 | 2017 | Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness · EC 2017 |
Algorithmic game theory and mechanism design › mechanism design › incentive compatibility
strategyproofness |
0.3 | 1 | 2017 | Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness · EC 2017 |
Distributed computing theory
impossibility results |
0.1 | 1 | 2017 | Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness · EC 2017 |
Methods — techniques the papers use, named apart from their topics
mechanism design · 0.7axiomatic characterization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Royal Processions: Incentives, Efficiency and Fairness in Two-Sided MatchingabstractWe study two-sided matching as introduced in Gale and Shapley [1962]. In contrast to much of the literature, we ignore stability and characterize all mechanisms which are group strategy-proof, efficient and treat the two sides symmetrically in the sense that the mechanism is invariant with respect to a reflection between the two sides. We find that all group strategy-proof, efficient, and "gender-neutral" mechanisms can be implemented by an algorithm which operates in a sequence of rounds. In each round, two agents are selected, one from each side and their matching is determined before moving on to the next round. We refer to these agents as the "royals." The royals are given their most-preferred available matches whenever possible. However, when their preferences conflict one of two "regimes" is used. The royals are either "matched-by-default" or "unmatched-by-default." In the former case, either of the royals can unilaterally force the other to match with them while in the latter case, they may only match together if both agree. In either case, if this pair of agents is not matched together, each gets their top choices among the set of remaining agents, excluding one another. We call the set of all such mechanisms "royalty mechanisms." Joseph Root, Sophie Bade |
EC | 2 |
| 2017 | Gibbard-Satterthwaite Success Stories and Obvious StrategyproofnessabstractThe Gibbard-Satterthwaite Impossibility Theorem [Gibbard, 1973, Satterthwaite, 1975] holds that dictatorship is the only Pareto optimal and strategyproof social choice function on the full domain of preferences. Much of the work in mechanism design aims at getting around this impossibility theorem. Three grand success stories stand out. On the domains of single-peaked preferences, of object assignment, and of quasilinear preferences, there are appealing Pareto optimal and strategyproof social choice functions. We investigate whether these success stories are robust to strengthening strategyproofness to obvious strategyproofness, a stronger incentive property that was recently introduced by Li [2015] and has since garnered considerable attention. Sophie Bade, Yannai A. Gonczarowski |
EC | 1 |