EDBT 2026 Demo / reviewers in the wild / expert
Matthew Rognlie
dblp:29/7441
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 · 67% Logic in computer science · 33% | |
| Artificial intelligence
1 paper |
Probabilistic and Bayesian machine learning · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › structured prediction › ranking model
mallows model |
0.1 | 1 | 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation · IJCAI 2009 |
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › parameter estimation
maximum likelihood estimation |
0.1 | 1 | 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation · IJCAI 2009 |
Algorithmic game theory and mechanism design › social choice
computational social choice |
0.1 | 1 | 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation · IJCAI 2009 |
Algorithmic game theory and mechanism design › social choice
preference aggregation |
0.1 | 1 | 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation · IJCAI 2009 |
Logic in computer science › program analysis
ranking functions |
0.1 | 1 | 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation · IJCAI 2009 |
Methods — techniques the papers use, named apart from their topics
maximum likelihood estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Preference Functions that Score Rankings and Maximum Likelihood Estimation
Vincent Conitzer, Matthew Rognlie, Lirong Xia |
IJCAI | 2 |