VLDB 2026 Research / reviewers in the wild / expert
Manu Nandan
dblp:129/1665
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—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 |
Optimization for machine learning · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning › regularized risk minimization
support vector machine training |
0.2 | 1 | 2014 | Fast SVM training using approximate extreme points · J. Mach. Learn. Res. 2014 |
Methods — techniques the papers use, named apart from their topics
approximate extreme points · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Fast SVM training using approximate extreme points
Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi |
J. Mach. Learn. Res. | 1 |