Demo Data from EDBT 2026 / reviewers in the wild / expert
Ron Fisher 0003
dblp:134/6523-3
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
gradient descent |
0.6 | 1 | 2022 | Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity · NeurIPS 2022 |
Mathematical optimization › continuous optimization
subspace optimization |
0.6 | 1 | 2022 | Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity · NeurIPS 2022 |
Methods — techniques the papers use, named apart from their topics
strict complementarity · 0.6gradient descent · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict ComplementarityabstractWe consider optimization problems in which the goal is to find a $k$-dimensional subspace of $\mathbb{R}^n$, $k< DOI 10.52202/068431-2210 Ron Fisher 0003, Dan Garber |
NeurIPS | 1 |