activity
20172022
most citedOptimal Strategies of Blotto Games: Beyond Convexity

4 citations · 10 across the 10 of their papers we have counts for

collaborators

18 papers

cs.DS2022

Sublinear Time Algorithms and Complexity of Approximate Maximum Matching

Soheil Behnezhad, Mohammad Roghani, Aviad Rubinstein

Sublinear time algorithms for approximating maximum matching size have long been studied. Much of the progress over the last two decades on this problem has been on the algorithmic…

cs.DS2022

Almost 3-Approximate Correlation Clustering in Constant Rounds

Soheil Behnezhad, Moses Charikar, Weiyun Ma +1

We study parallel algorithms for correlation clustering. Each pair among objects is labeled as either "similar" or "dissimilar". The goal is to partition the objects into arbit…

cs.DS20221 cited

New Trade-Offs for Fully Dynamic Matching via Hierarchical EDCS

Soheil Behnezhad, Sanjeev Khanna

We study the maximum matching problem in fully dynamic graphs: a graph is undergoing both edge insertions and deletions, and the goal is to efficiently maintain a large matching af…

cs.DS2021

Improved Analysis of EDCS via Gallai-Edmonds Decomposition

Soheil Behnezhad

In this note, we revisit the edge-degree constrained subgraph (EDCS) introduced by Bernstein and Stein (ICALP'15). An EDCS is a sparse subgraph satisfying simple edge-degree constr…

cs.DS2021

Beating Two-Thirds For Random-Order Streaming Matching

Sepehr Assadi, Soheil Behnezhad

We study the maximum matching problem in the random-order semi-streaming setting. In this problem, the edges of an arbitrary -vertex graph arrive in a stream one by o…

cs.DC20202 cited

Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari +3

We study fundamental graph problems such as graph connectivity, minimum spanning forest (MSF), and approximate maximum (weight) matching in a distributed setting. In particular, we…