activity
20122019
most citedSearching Trees with Permanently Noisy Advice: Walking and Query Algorithms

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

collaborators

7 papers

math.CO2019★ 1 cited

On Mappings on the Hypercube with Small Average Stretch

Lucas Boczkowski, Igor Shinkar

Let be a set of size , and let be a bijection. We define the average stretch of as ${\sf avgStretch}(ϕ) = {\mathb…

cs.MA2017

Limits for Rumor Spreading in stochastic populations

Lucas Boczkowski, Ofer Feinerman, Amos Korman +1

Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While man-made systems often employ intricate…

cs.DS2016★ 2 cited

Searching Trees with Permanently Noisy Advice: Walking and Query Algorithms

Lucas Boczkowski, Uriel Feige, Amos Korman +1

We consider a search problem on trees in which the goal is to find an adversarially placed treasure, while relying on local, partial information. Specifically, each node in the tre…

cs.CC2016

Streaming Communication Protocols

Lucas Boczkowski, Iordanis Kerenidis, Frédéric Magniez

We define the Streaming Communication model that combines the main aspects of communication complexity and streaming. We consider two agents that want to compute some function that…

math.PR2016

Sensitivity of mixing times in Eulerian digraphs

Lucas Boczkowski, Yuval Peres, Perla Sousi

Let be a lazy random walk on a graph . If is undirected, then the mixing time is upper bounded by the maximum hitting time of the graph. This fails for directed chains,…

cs.DC2016

Minimizing Message Size in Stochastic Communication Patterns: Fast Self-Stabilizing Protocols with 3 bits

Lucas Boczkowski, Amos Korman, Emanuele Natale

This paper considers the basic model of communication, in which in each round, each agent extracts information from few randomly chosen agents. We seek to identify…

cs.IT2012★ 1 cited

Extended Extremes of Information Combining

Lucas Boczkowski

Extremes of information combining inequalities play an important role in the analysis of sparse-graph codes under message-passing decoding. We introduce new tools for the derivatio…