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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Madelyn Gatchel

dblp:294/1739 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 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.

Artificial intelligence
1 paper
Multi-agent systems · 100%
Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › game theory
game-theoretic analysis		 0.512021
Analyzing Games with a Variable Number of Players · AAAI 2021
Algorithmic game theory and mechanism design › non-cooperative game › strategic game
symmetric game		 0.512021
Analyzing Games with a Variable Number of Players · AAAI 2021

Methods — techniques the papers use, named apart from their topics

multi-headed neural network · 1.0
YearPublicationVenuePosition
2025 Game-Family Learning for Simulation-Based Games
Madelyn Gatchel
 AAMAS1
2025 Learning Bayesian Game Families, with Application to Mechanism Design
Madelyn Gatchel, Michael P. Wellman
 AAMAS1
2021 Analyzing Games with a Variable Number of Players
abstract
We introduce a novel technique that uses a multi-headed neural network to analyze symmetric games with a variable number of players, where the number of participants falls in a specified range. We hypothesize that the payoffs in a game with x players are similar or related to the same game with x + 1 players, given a large value of x. With this hypothesis, we generalize prior work to analyze games with a large, variable number of players.
Madelyn Gatchel
 AAAI1