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Aviad Rubinstein

19 papers hereh-index 6102 citations19 works total

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

author position
  • first author4
  • middle author4
  • last author10

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.GT10
  • cs.DS7
  • cs.CC2
same name
  • Aviad Rubinstein — 2 papers, h 2
  • Aviad Rubinstein — 1 paper
  • Aviad Rubinstein — 1 paper, h 1

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
20232026
most citedFast swap regret minimization and applications to approximate correlated equilibria

2 citations · 5 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CC2024

Hardness of Approximate Sperner and Applications to Envy-Free Cake Cutting

Ruiquan Gao, Mohammad Roghani, Aviad Rubinstein +1

Given a so called ''Sperner coloring'' of a triangulation of the D-dimensional simplex, Sperner's lemma guarantees the existence of a rainbow simplex, i.e. a simplex colored by a…

cs.DS2024

Parallel Sampling via Counting

Nima Anari, Ruiquan Gao, Aviad Rubinstein

We show how to use parallelization to speed up sampling from an arbitrary distribution μ on a product space [q]n, given oracle access to counting queries: $\mathbb{P}_{X\sim μ…

cs.DS2024

Approximating Maximum Matching Requires Almost Quadratic Time

Soheil Behnezhad, Mohammad Roghani, Aviad Rubinstein

We study algorithms for estimating the size of maximum matching. This problem has been subject to extensive research. For n-vertex graphs, Bhattacharya, Kiss, and Saranurak [FOCS…

cs.GT2024

The complexity of approximate (coarse) correlated equilibrium for incomplete information games

Binghui Peng, Aviad Rubinstein

We study the iteration complexity of decentralized learning of approximate correlated equilibria in incomplete information games. On the negative side, we prove that in $\mathit{ex…

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