Demo Data from EDBT 2026 / reviewers in the wild / expert
Thayer Morrill
dblp:73/11120
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 1 since 2021Theory of computation · 2 · 2 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 · 94% Logic in computer science · 6% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › social choice
preference aggregation |
0.6 | 1 | 2022 | Desirable Rankings: A New Method for Ranking Outcomes of a Competitive Process · EC 2022 |
Algorithmic game theory and mechanism design
social choice |
0.6 | 1 | 2022 | Desirable Rankings: A New Method for Ranking Outcomes of a Competitive Process · EC 2022 |
Algorithmic game theory and mechanism design › social choice › preference aggregation
social ranking |
0.6 | 1 | 2022 | Desirable Rankings: A New Method for Ranking Outcomes of a Competitive Process · EC 2022 |
Algorithmic game theory and mechanism design › matching › matching mechanism
deferred acceptance |
0.2 | 1 | 2016 | Petty Envy When Assigning Objects · EC 2016 |
Algorithmic game theory and mechanism design › matching
fair matching |
0.2 | 1 | 2016 | Petty Envy When Assigning Objects · EC 2016 |
Algorithmic game theory and mechanism design › matching
matching theory |
0.2 | 1 | 2016 | Petty Envy When Assigning Objects · EC 2016 |
Algorithmic game theory and mechanism design › matching
stable matching |
0.2 | 1 | 2016 | Petty Envy When Assigning Objects · EC 2016 |
Logic in computer science › meta-logic
axiomatization |
0.2 | 1 | 2022 | Desirable Rankings: A New Method for Ranking Outcomes of a Competitive Process · EC 2022 |
Methods — techniques the papers use, named apart from their topics
axiomatic analysis · 0.6lattice theory · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Desirable Rankings: A New Method for Ranking Outcomes of a Competitive ProcessabstractWe consider the problem of aggregating individual preferences over alternatives into a social ranking. A key feature of the problems that we consider---and the one that allows us to obtain positive results, in contrast to negative results such as Arrow's Impossibililty Theorem---is that the alternatives to be ranked are outcomes of a competitive process. Examples include rankings of colleges or academic journals. The foundation of our ranking method is that alternatives that an agent desires---those that they have been rejected by---should be ranked higher than the one they receive. We provide a mechanism to produce a social ranking given any preference profile and outcome assignment, and characterize this ranking as the unique one that satisfies certain desirable axioms. Thayer Morrill, Peter Troyan |
EC | 1 |
| 2016 | Petty Envy When Assigning ObjectsabstractEnvy of another person's assignment is ``justified'' if you ``deserve'' the object and it is possible to assign you to the object. Currently, the literature only considers whether or not the agent deserves the object and ignores whether or not assigning her to it is possible. This paper defines a fair set of assignments in terms of what is possible. We prove that a fair set of assignments has the same properties as the set of stable matches: the Lattice Theorem, Decomposition Lemma, and Rural Hospital Theorem all hold. Moreover, there is a unique, student-optimal fair assignment: the assignment made by Kesten's Efficiency Adjusted Deferred Acceptance mechanism when all students consent. Thayer Morrill |
EC | 1 |