Demo Data from EDBT 2026 / reviewers in the wild / expert
Thorsten Kiss
dblp:177/0372 · also Thorsten Doliwa
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 3 first-authorTheory of computation · 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
2 papers |
Learning theory · 91% Kernel, tree and ensemble methods · 9% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory › computational learning theory › machine teaching › teaching dimension
recursive teaching dimension |
0.2 | 1 | 2014 | Recursive teaching dimension, VC-dimension and sample compression · J. Mach. Learn. Res. 2014 |
Machine learning › Learning theory › computational learning theory
sample compression |
0.2 | 1 | 2014 | Recursive teaching dimension, VC-dimension and sample compression · J. Mach. Learn. Res. 2014 |
Machine learning › Learning theory › computational learning theory › machine teaching
teaching dimension |
0.2 | 1 | 2014 | Recursive teaching dimension, VC-dimension and sample compression · J. Mach. Learn. Res. 2014 |
Machine learning › Learning theory › computational learning theory › VC theory
VC dimension |
0.2 | 1 | 2014 | Recursive teaching dimension, VC-dimension and sample compression · J. Mach. Learn. Res. 2014 |
Machine learning › Learning theory
generalization bounds |
0.1 | 1 | 2008 | Dimension and Margin Bounds for Reflection-invariant Kernels · COLT 2008 |
Machine learning › Kernel, tree and ensemble methods
kernel methods |
0.1 | 1 | 2008 | Dimension and Margin Bounds for Reflection-invariant Kernels · COLT 2008 |
Methods — techniques the papers use, named apart from their topics
combinatorial analysis · 0.2kernel theory · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Order compression schemes
Malte Darnstädt, Thorsten Kiss, Hans Simon 0001, Sandra Zilles |
Theor. Comput. Sci. | 2 |
| 2014 | Recursive teaching dimension, VC-dimension and sample compression
Thorsten Kiss, Gaojian Fan, Hans Simon 0001, Sandra Zilles |
J. Mach. Learn. Res. | 1 |
| 2013 | Order Compression Schemes
Malte Darnstädt, Thorsten Kiss, Hans Simon 0001, Sandra Zilles |
ALT | 2 |
| 2010 | Recursive Teaching Dimension, Learning Complexity, and Maximum Classes
Thorsten Kiss, Hans Simon 0001, Sandra Zilles |
ALT | 1 |
| 2008 | Dimension and Margin Bounds for Reflection-invariant Kernels
Thorsten Kiss, Michael Kallweit, Hans Simon 0001 |
COLT | 1 |