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Virginia Vassilevska Williams

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.DS3
  • cs.CC1
ORCID 0000-0003-4844-2863
same name
  • Virginia Vassilevska Williams — 12 papers, h 3
  • Virginia Vassilevska Williams — 9 papers, h 5
  • Virginia Vassilevska Williams — 8 papers, h 2

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
20152025
collaborators

4 papers

cs.DS2025

Output-sensitive approximate counting via a measure-bounded hyperedge oracle, or: How asymmetry helps estimate k-clique counts faster

Keren Censor-Hillel, Tomer Even, Virginia Vassilevska Williams

Dell, Lapinskas and Meeks [DLM SICOMP 2022] presented a general reduction from approximate counting to decision for a class of fine-grained problems that can be viewed as hyperedge…

cs.DS2024

Faster Weighted and Unweighted Tree Edit Distance and APSP Equivalence

Jakob Nogler, Adam Polak, Barna Saha +3

The tree edit distance (TED) between two rooted ordered trees with n nodes labeled from an alphabet Σ is the minimum cost of transforming one tree into the other by a sequence…

cs.DS2023

Fredman's Trick Meets Dominance Product: Fine-Grained Complexity of Unweighted APSP, 3SUM Counting, and More

Timothy M. Chan, Virginia Vassilevska Williams, Yinzhan Xu

In this paper we carefully combine Fredman's trick [SICOMP'76] and Matoušek's approach for dominance product [IPL'91] to obtain powerful results in fine-grained complexity: - Under…

cs.CC2015

Subtree Isomorphism Revisited

Amir Abboud, Arturs Backurs, Thomas Dueholm Hansen +2

The Subtree Isomorphism problem asks whether a given tree is contained in another given tree. The problem is of fundamental importance and has been studied since the 1960s. For som…

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