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researcher

Michael W. Mahoney

131 papers hereh-index 6824.7k citations254 works total

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

author position
  • sole author5
  • first author4
  • middle author36
  • last author83

Across the 128 of 131 papers where every author was matched, so the position is known.

fields
  • cs.LG33
  • cs.DS28
  • stat.ML20
  • math.OC15
  • cs.DC8
  • cs.SI8
same name
  • Michael W. Mahoney — 60 papers, h 38
  • Michael W. Mahoney — 21 papers, h 10
  • Michael W. Mahoney — 14 papers, h 9
  • Michael W. Mahoney — 11 papers, h 7
  • Michael W. Mahoney — 11 papers, h 3
  • Michael W. Mahoney — 10 papers

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
20072023
most citedShallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors

259 citations · 2.9k across the 123 of their papers we have counts for

collaborators
Showing 2008Show all

3 papers · 1 filter

cs.DS2008★ 4 cited

Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008

Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson

The 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), sponsored by the NSF, DARPA, LinkedIn, and Yahoo!, was held at Stanford University, June 25--28. The goals…

cs.DS2008

An Improved Approximation Algorithm for the Column Subset Selection Problem

Christos Boutsidis, Michael W. Mahoney, Petros Drineas

We consider the problem of selecting the best subset of exactly k columns from an m×n matrix A. We present and analyze a novel two-stage algorithm that runs in $O(\min…

cs.DS2008★ 36 cited

Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters

Jure Leskovec, Kevin J. Lang, Anirban Dasgupta +1

A large body of work has been devoted to defining and identifying clusters or communities in social and information networks. We explore from a novel perspective several questions…

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