activity
20082025
most citedScalable Fair Clustering

58 citations · 104 across the 15 of their papers we have counts for

collaborators

21 papers

cs.DS2025

Robust Streaming Against Low-Memory Adversaries

Omri Ben-Eliezer, Krzysztof Onak, Sandeep Silwal

Robust streaming, the study of streaming algorithms that provably work when the stream is generated by an adaptive adversary, has seen tremendous progress in recent years. However,…

cs.DS2021

Adversarially Robust Streaming via Dense--Sparse Trade-offs

Omri Ben-Eliezer, Talya Eden, Krzysztof Onak

A streaming algorithm is adversarially robust if it is guaranteed to perform correctly even in the presence of an adaptive adversary. Recently, several sophisticated frameworks for…

cs.DS2020

Dynamic Graph Algorithms with Batch Updates in the Massively Parallel Computation Model

Krzysztof Nowicki, Krzysztof Onak

We study dynamic graph algorithms in the Massively Parallel Computation model, which was inspired by practical data processing systems. Our goal is to provide algorithms that can e…

cs.DS2019★ 58 cited

Scalable Fair Clustering

Arturs Backurs, Piotr Indyk, Krzysztof Onak +3

We study the fair variant of the classic -median problem introduced by Chierichetti et al. [2017]. In the standard -median problem, given an input pointset , the goal is t…

cs.DS2018

Fully Dynamic MIS in Uniformly Sparse Graphs

Krzysztof Onak, Baruch Schieber, Shay Solomon +1

We consider the problem of maintaining a maximal independent set (MIS) in a dynamic graph subject to edge insertions and deletions. Recently, Assadi, Onak, Schieber and Solomon (ST…

cs.DS2018★ 17 cited

Round Compression for Parallel Graph Algorithms in Strongly Sublinear Space

Krzysztof Onak

The Massive Parallel Computation (MPC) model is a theoretical framework for popular parallel and distributed platforms such as MapReduce, Hadoop, or Spark. We consider the task of…