Demo Data from EDBT 2026 / reviewers in the wild / expert
Alexander Heckett
dblp:330/4828
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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 |
Generative modeling · 67% Learning theory · 33% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
score-based model |
0.7 | 1 | 2023 | Statistical Efficiency of Score Matching: The View from Isoperimetry · ICLR 2023 |
Machine learning › Generative modeling
score matching |
0.7 | 1 | 2023 | Statistical Efficiency of Score Matching: The View from Isoperimetry · ICLR 2023 |
Machine learning › Learning theory › statistical estimation
statistical efficiency |
0.7 | 1 | 2023 | Statistical Efficiency of Score Matching: The View from Isoperimetry · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
score matching · 1.3isoperimetric inequality · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler, Alexander Heckett, Andrej Risteski |
ICLR | 2 |