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institution

Columbia University

United States

5.1k papers here358.1k citations across 5.1k
fields
  • hep-ex640
  • astro-ph.HE576
  • astro-ph343
  • astro-ph.GA297
  • cond-mat.mes-hall204
  • cond-mat.str-el144
  • cs.LG134
  • astro-ph.SR133
ROR 00hj8s172OpenAlex

affiliations via OpenAlex

output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

researchers with a paper here
  • E. Rossi590
  • L. Li581
  • Κ. Peters496
  • E. Gorini475
  • M. Weber474
  • M. J. White470
  • D. Duda460
  • S. Terzo458
  • A. Kupčo457
  • N. Zhou453
  • A. Gabrielli450
  • H. Yang448
collaborating institutions
  • Centre National de la Recherche ScientifiqueFR861 papers
  • University of MichiganUS766 papers
  • Brookhaven National LaboratoryUS731 papers
  • Stony Brook UniversityUS702 papers
  • University of ChicagoUS684 papers
  • University of WashingtonUS664 papers
  • University of California, BerkeleyUS659 papers
  • University of ArizonaUS644 papers
  • University of ManchesterGB641 papers
  • Iowa State UniversityUS639 papers
  • Université Paris CitéFR636 papers
  • McGill UniversityCA632 papers
Showing 2006 · cs.LGShow all

1 paper · 2 filters

cs.LG2006★ 5 cited

PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption

Jon Feldman, Ryan O'Donnell, Rocco A. Servedio

We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kearns et al.…

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