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Sonja Petrovi'c

4 papers hereh-index 221 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DM1
  • math.AC1
  • stat.CO1
  • stat.ME1
same name
  • Sonja Petrovi'c — 16 papers, h 8
  • Sonja Petrovi'c — 5 papers, h 1
  • Sonja Petrovi'c — 5 papers, h 1
  • Sonja Petrovi'c — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedIrreducible Markov Chains on spaces of graphs with fixed degree-color sequences

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DM2024★ 2 cited

Irreducible Markov Chains on spaces of graphs with fixed degree-color sequences

Félix Almendra-Hernández, Jesús A. De Loera, Sonja Petrović

We study a colored generalization of the famous simple-switch Markov chain for sampling the set of graphs with a fixed degree sequence. Here we consider the space of graphs with co…

stat.CO2023★ 2 cited

Sampling lattice points in a polytope: a Bayesian biased algorithm with random updates

Miles Bakenhus, Sonja Petrović

The set of nonnegative integer lattice points in a polytope, also known as the fiber of a linear map, makes an appearance in several applications including optimization and statist…

math.AC2023★ 1 cited

The Spark Randomizer: a learned randomized framework for computing Gröbner bases

Shahrzad Jamshidi, Sonja Petrović

We define a violator operator which captures the definition of a minimal Gröbner basis of an ideal. This construction places the problem of computing a Gröbner basis within the fra…

stat.ME2023

Markov bases: a 25 year update

Félix Almendra-Hernández, Jesús A. De Loera, Sonja Petrović

In this paper, we evaluate the challenges and best practices associated with the Markov bases approach to sampling from conditional distributions. We provide insights and clarifica…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.