EDBT 2026 Demo / reviewers in the wild / expert
Omiros Papaspiliopoulos
dblp:68/6685
· 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 · 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 |
Learning theory · 33% Learning paradigms · 33% Reinforcement learning · 33% |
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 › constrained reinforcement learning
hard constraints |
0.1 | 1 | 2009 | Online Multi-task Learning with Hard Constraints · COLT 2009 |
Machine learning › Learning paradigms
multi-task learning |
0.1 | 1 | 2009 | Online Multi-task Learning with Hard Constraints · COLT 2009 |
Machine learning › Learning theory
online learning |
0.1 | 1 | 2009 | Online Multi-task Learning with Hard Constraints · COLT 2009 |
Methods — techniques the papers use, named apart from their topics
online convex optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Online Multi-task Learning with Hard Constraints
Gábor Lugosi, Omiros Papaspiliopoulos, Gilles Stoltz |
COLT | 2 |