Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wesley Cowan
dblp:161/9990
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Reinforcement learning · 100% | |
| Theoretical computer science
1 paper |
Approximation and online algorithms · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › multi-armed bandit › stochastic bandit
gaussian bandit |
0.3 | 1 | 2017 | Normal Bandits of Unknown Means and Variances · J. Mach. Learn. Res. 2017 |
Machine learning › Reinforcement learning
multi-armed bandit |
0.3 | 1 | 2017 | Normal Bandits of Unknown Means and Variances · J. Mach. Learn. Res. 2017 |
Approximation and online algorithms
online learning |
0.3 | 1 | 2017 | Normal Bandits of Unknown Means and Variances · J. Mach. Learn. Res. 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Normal Bandits of Unknown Means and Variances
Wesley Cowan, Junya Honda, Michael N. Katehakis |
J. Mach. Learn. Res. | 1 |