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Silvio Lattanzi

38 papers hereh-index 345k citations103 works total

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

author position
  • first author1
  • middle author32
  • last author2

Across the 35 of 38 papers where every author was matched, so the position is known.

fields
  • cs.DS21
  • cs.LG12
  • cs.DC2
  • math-ph1
  • math.ST1
  • stat.ML1
same name
  • Silvio Lattanzi — 11 papers, h 5
  • Silvio Lattanzi — 5 papers, h 3
  • Silvio Lattanzi — 4 papers, h 4
  • Silvio Lattanzi — 1 paper, h 1
  • Silvio Lattanzi — 1 paper, h 0

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
20132026
most citedSubmodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity

32 citations · 140 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.DC2019

Dynamic Algorithms for the Massively Parallel Computation Model

Giuseppe F. Italiano, Silvio Lattanzi, Vahab S. Mirrokni +1

The Massive Parallel Computing (MPC) model gained popularity during the last decade and it is now seen as the standard model for processing large scale data. One significant shortc…

cs.LG2019★ 32 cited

Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity

Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam +2

Streaming algorithms are generally judged by the quality of their solution, memory footprint, and computational complexity. In this paper, we study the problem of maximizing a mono…

cs.DS2019★ 3 cited

MapReduce Meets Fine-Grained Complexity: MapReduce Algorithms for APSP, Matrix Multiplication, 3-SUM, and Beyond

MohammadTaghi Hajiaghayi, Silvio Lattanzi, Saeed Seddighin +1

Distributed processing frameworks, such as MapReduce, Hadoop, and Spark are popular systems for processing large amounts of data. The design of efficient algorithms in these framew…

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