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11 papers here563 citations across 11
fields
  • cs.LG2
  • physics.soc-ph2
  • cs.AI1
  • cs.CV1
  • cs.DL1
  • cs.GT1
  • math.OC1
  • math.ST1
ROR 040dkzz12OpenAlex

affiliations via OpenAlex

output
20072009
most citedSlow Learners are Fast

201 citations

researchers with a paper here
  • John Langford2 profiles4 · h 73
  • Tong Zhang2 profiles2 · h 47
  • A. Beygelzimer1 · h 27
  • Alexander J. Smola1 · h 2
  • Alex Smola1 · h 128
  • C. Lee Giles1 · h 100
  • Daniel Marcu1
  • David M. Pennock1 · h 48
  • Duncan J. Watts1 · h 6
  • D. Watts1 · h 60
  • Gregory Kossinets1 · h 9
  • Hal Daumé1
collaborating institutions
  • Stanford UniversityUS3 papers
  • IBM (United States)US2 papers
  • Northwestern UniversityUS2 papers
  • Research!America (United States)US2 papers
  • Australian National UniversityAU1 paper
  • Cornell UniversityUS1 paper
  • Data61AU1 paper
  • Marina Del Rey HospitalUS1 paper
  • Marine Corps – Law Enforcement FoundationUS1 paper
  • Pennsylvania State UniversityUS1 paper
  • Rutgers, The State University of New JerseyUS1 paper
  • Toyota Technological Institute at ChicagoUS1 paper
Showing math.OCShow all

1 paper · 1 filter

math.OC2009★ 201 cited

Slow Learners are Fast

John Langford, Alexander Smola, Martin Zinkevich

Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequentia…

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