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László A. Végh

24 papers hereh-index 18838 citations58 works total

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

author position
  • sole author3
  • first author2
  • middle author3
  • last author15

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.DS12
  • math.OC5
  • cs.GT4
  • cs.DM2
  • cs.LG1
same name
  • László A. Végh — 5 papers, h 3
  • László A. Végh — 1 paper

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

activity
20112026
most citedDecomposable Submodular Function Minimization: Discrete and Continuous

15 citations · 42 across the 16 of their papers we have counts for

collaborators
Showing 2012Show all

4 papers · 1 filter

cs.DM2012★ 1 cited

Approximating Minimum-Cost k-Node Connected Subgraphs via Independence-Free Graphs

Joseph Cheriyan, Laszlo A. Vegh

We present a 6-approximation algorithm for the minimum-cost k-node connected spanning subgraph problem, assuming that the number of nodes is at least k3(k−1)+k. We apply a com…

cs.DM2012★ 9 cited

Oriented Euler Complexes and Signed Perfect Matchings

László A. Végh, Bernhard von Stengel

This paper presents "oriented pivoting systems" as an abstract framework for complementary pivoting. It gives a unified simple proof that the endpoints of complementary pivoting pa…

cs.DS2012★ 7 cited

The Cutting Plane Method is Polynomial for Perfect Matchings

Karthekeyan Chandrasekaran, Laszlo A. Vegh, Santosh Vempala

The cutting plane approach to optimal matchings has been discussed by several authors over the past decades (e.g., Padberg and Rao '82, Grotschel and Holland '85, Lovasz and Plumme…

cs.GT2012

LP-based Covering Games with Low Price of Anarchy

Georgios Piliouras, Tomas Valla, Laszlo A. Vegh

We present a new class of vertex cover and set cover games. The price of anarchy bounds match the best known constant factor approximation guarantees for the centralized optimizati…

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