activity
20112026
most citedApproximate counting of regular hypergraphs

19 citations · 89 across the 12 of their papers we have counts for

collaborators

14 papers

math.PR2026

Concentration inequalities for vector-valued martingales

Tomas Juškevičius, Matas Šileikis

In this paper, we establish several deviation inequalities for the norms of vector-valued martingales, achieving bounds of the same quality as those available in the classical one-…

math.CO2022★ 1 cited

Prominent examples of flip processes

Pedro Araújo, Jan Hladký, Eng Keat Hng +1

Flip processes, introduced in [Garbe, Hladký, Šileikis, Skerman: From flip processes to dynamical systems on graphons], are a class of random graph processes defined using a rule w…

cs.CG2021

Non-homotopic Loops with a Bounded Number of Pairwise Intersections

Václav Blažej, Michal Opler, Matas Šileikis +1

Let be a set of points in the plane and let . An -loop is a continuous closed curve not containing any point of . We say that two -loops are non-…

math.CO2020

Sandwiching biregular random graphs

Tereza Klimošová, Christian Reiher, Andrzej Ruciński +1

Let be a uniformly random -edge subgraph of the complete bipartite graph with bipartition , where . Given a real number $p \in [0,1…

math.CO2019★ 4 cited

Counting extensions revisited

Matas Šileikis, Lutz Warnke

We consider rooted subgraphs in random graphs, i.e., extension counts such as (i) the number of triangles containing a given vertex or (ii) the number of paths of length three conn…

math.CO2019★ 10 cited

A limit theorem for small cliques in inhomogeneous random graphs

Jan Hladky, Christos Pelekis, Matas Sileikis

The theory of graphons comes with a natural sampling procedure, which results in an inhomogeneous variant of the Erdős--Rényi random graph, called -random graphs. We prove, via…

math.PR2019★ 10 cited

Upper tail bounds for Stars

Matas Šileikis, Lutz Warnke

For r \ge 2, let X be the number of r-armed stars K_{1,r} in the binomial random graph G_{n,p}. We study the upper tail \Pr(X \ge (1+ε)\E X), and establish exponential bounds which…

math.CO2018★ 5 cited

A central limit theorem for almost local additive tree functionals

Dimbinaina Ralaivaosaona, Matas Šileikis, Stephan Wagner

An additive functional of a rooted tree is a functional that can be calculated recursively as the sum of the values of the functional over the branches, plus a certain toll functio…

math.PR2018★ 14 cited

A counterexample to the DeMarco-Kahn Upper Tail Conjecture

Matas Šileikis, Lutz Warnke

Given a fixed graph H, what is the (exponentially small) probability that the number X_H of copies of H in the binomial random graph G_{n,p} is at least twice its mean? Studied int…

math.PR2016

Multivariate normal limit laws for the numbers of fringe subtrees in -ary search trees and preferential attachment trees

Cecilia Holmgren, Svante Janson, Matas Šileikis

We study fringe subtrees of random -ary search trees and of preferential attachment trees, by putting them in the context of generalised Pólya urns. In particular we show that…

math.CO2015★ 11 cited

Embedding the Erdős-Rényi Hypergraph into the Random Regular Hypergraph and Hamiltonicity

Andrzej Dudek, Alan Frieze, Andrzej Ruciński +1

We establish an inclusion relation between two uniform models of random -graphs (for constant ) on labeled vertices: , the random -graph wi…

math.CO2013★ 8 cited

Loose Hamilton Cycles in Regular Hypergraphs

Andrzej Dudek, Alan Frieze, Andrzej Ruciński +1

We establish a relation between two uniform models of random -graphs (for constant ) on labeled vertices: , the random -graph with exactly edges, and…

math.CO2013★ 19 cited

Approximate counting of regular hypergraphs

Andrzej Dudek, Alan Frieze, Andrzej Ruciński +1

In this paper we asymptotically count -regular -uniform hypergraphs on vertices, provided is fixed and . In doing so, we extend to hypergraphs a sw…

math.PR2011★ 7 cited

Optimal Probability Inequalities for Random Walks related to Problems in Extremal Combinatorics

Dainius Dzindzalieta, Matas Šileikis, Tomas Juškevičius

Let S_n=X_1+...+X_n be a sum of independent symmetric random variables such that |X_{i}|\leq 1. Denote by W_n=ε_{1}+...+ε_{n} a sum of independent random variables such that \prob{…