Demo Data from VLDB 2026 / reviewers in the wild / expert
Marek Sulovský
dblp:89/1683
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2Artificial 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.
| Theoretical computer science
2 papers |
Mathematical optimization · 46% Computational geometry · 27% Graph algorithms and graph theory · 27% | |
| Artificial intelligence
1 paper |
Learning theory · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry › combinatorial geometry › geometric set systems
conflict-free coloring |
0.1 | 1 | 2011 | The potential to improve the choice: list conflict-free coloring for geometric hypergraphs · SCG 2011 |
Graph algorithms and graph theory › graph coloring
list coloring |
0.1 | 1 | 2011 | The potential to improve the choice: list conflict-free coloring for geometric hypergraphs · SCG 2011 |
Mathematical optimization › continuous optimization
convex optimization |
0.1 | 1 | 2010 | A Simple Algorithm for Nuclear Norm Regularized Problems · ICML 2010 |
Mathematical optimization › continuous optimization › convex optimization › norm optimization
nuclear norm minimization |
0.1 | 1 | 2010 | A Simple Algorithm for Nuclear Norm Regularized Problems · ICML 2010 |
Machine learning › Learning theory
matrix completion |
0.0 | 1 | 2010 | A Simple Algorithm for Nuclear Norm Regularized Problems · ICML 2010 |
Methods — techniques the papers use, named apart from their topics
nuclear norm regularization · 0.2unique-maximum coloring · 0.1potential method · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | The potential to improve the choice: list conflict-free coloring for geometric hypergraphsabstractGiven a geometric hypergraph (or a range-space) H=(V,E), a coloring of its vertices is said to be conflict-free if for every hyperedge S ∈ E there is at least one vertex in S whose color is distinct from the colors of all other vertices in S. The study of this notion is motivated by frequency assignment problems in wireless networks. We study the list-coloring (or choice) version of this notion. In this version, each vertex is associated with a set of (admissible) colors and it is allowed to be colored only with colors from its set. List coloring arises naturally in the context of wireless networks. Our main result is a list coloring algorithm based on a new potential method. The algorithm produces a stronger unique-maximum coloring, in which colors are positive integers and the maximum color in every hyperedge occurs uniquely. As a corollary, we provide asymptotically sharp bounds on the size of the lists required to assure the existence of such unique-maximum colorings for many geometric hypergraphs (e.g., discs or pseudo-discs in the plane or points with respect to discs). Moreover, we provide an algorithm, such that, given a family of lists with the appropriate sizes, computes such a coloring from these lists. Panagiotis Cheilaris, Shakhar Smorodinsky, Marek Sulovský |
SCG | 3 |
| 2010 | A Simple Algorithm for Nuclear Norm Regularized Problems
Martin Jaggi, Marek Sulovský |
ICML | 2 |
| 2008 | On Center Regions and Balls Containing Many Points
Shakhar Smorodinsky, Marek Sulovský, Uli Wagner 0001 |
COCOON | 2 |