activity
20092026
most citedUnifying and Strengthening Hardness for Dynamic Problems via the Online Matrix-Vector Multiplication Conjecture

215 citations · 689 across the 60 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.DS2020

Faster connectivity in low-rank hypergraphs via expander decomposition

Calvin Beideman, Karthekeyan Chandrasekaran, Sagnik Mukhopadhyay +1

We design an algorithm for computing connectivity in hypergraphs which runs in time (the hides th…

cs.DS2020★ 12 cited

Bipartite Matching in Nearly-linear Time on Moderately Dense Graphs

Jan van den Brand, Yin-Tat Lee, Danupon Nanongkai +5

We present an -time randomized algorithm for maximum cardinality bipartite matching and related problems (e.g. transshipment, negative-weight shortest paths, a…

cs.DS2020

Distributed Weighted Min-Cut in Nearly-Optimal Time

Michal Dory, Yuval Efron, Sagnik Mukhopadhyay +1

Minimum-weight cut (min-cut) is a basic measure of a network's connectivity strength. While the min-cut can be computed efficiently in the sequential setting [Karger STOC'96], ther…

cs.DS2020

Fully-Dynamic Graph Sparsifiers Against an Adaptive Adversary

Aaron Bernstein, Jan van den Brand, Maximilian Probst Gutenberg +4

Designing dynamic graph algorithms against an adaptive adversary is a major goal in the field of dynamic graph algorithms. While a few such algorithms are known for spanning trees,…

cs.DS2020

Dynamic Set Cover: Improved Amortized and Worst-Case Update Time

Sayan Bhattacharya, Monika Henzinger, Danupon Nanongkai +1

In the dynamic minimum set cover problem, a challenge is to minimize the update time while guaranteeing close to the optimal approximation factor. (Throughout,…

cs.DC2020

Equivalence Classes and Conditional Hardness in Massively Parallel Computations

Danupon Nanongkai, Michele Scquizzato

The Massively Parallel Computation (MPC) model serves as a common abstraction of many modern large-scale data processing frameworks, and has been receiving increasingly more attent…