Demo Data from EDBT 2026 / reviewers in the wild / expert
Issam El Alaoui
dblp:137/8506
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Reinforcement learning · 70% Learning theory · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning
multi-armed bandit |
0.2 | 1 | 2013 | Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem · J. Mach. Learn. Res. 2013 |
Machine learning › Learning theory › online learning › regret bounds
regret lower bounds |
0.2 | 1 | 2013 | Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem · J. Mach. Learn. Res. 2013 |
Machine learning › Reinforcement learning › multi-armed bandit
stochastic bandit |
0.2 | 1 | 2013 | Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem · J. Mach. Learn. Res. 2013 |
Machine learning › Reinforcement learning › exploration
exploration strategies |
0.0 | 1 | 2013 | Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem · J. Mach. Learn. Res. 2013 |
Methods — techniques the papers use, named apart from their topics
weak-consistent policy · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem
Antoine Salomon, Jean-Yves Audibert, Issam El Alaoui |
J. Mach. Learn. Res. | 3 |