Essec\Faculty\Model\Contribution {#2205
  #_index: "academ_contributions"
  #_id: "13873"
  #_source: array:26 [
    "id" => "13873"
    "slug" => "robust-machine-learning-by-median-of-means-theory-and-practice"
    "yearMonth" => "2020-04"
    "year" => "2020"
    "title" => "Robust machine learning by median-of-means: Theory and practice"
    "description" => "LECUE, G. et LERASLE, M. (2020). Robust machine learning by median-of-means: Theory and practice. <i>Annals of Statistics</i>, 48(2)."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "LECUE Guillaume"
        "bid" => "B00806953"
        "slug" => "lecue-guillaume"
      ]
      1 => array:1 [
        "name" => "LERASLE Matthieu"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2023-03-17 01:00:46"
    "publicationUrl" => "https://projecteuclid.org/journals/annals-of-statistics/volume-48/issue-2/Robust-machine-learning-by-median-of-means--Theory-and/10.1214/19-AOS1828.short"
    "publicationInfo" => array:3 [
      "pages" => ""
      "volume" => "48"
      "number" => "2"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Median-of-means (MOM) based procedures have been recently introduced in learning theory (Lugosi and Mendelson (2019); Lecué and Lerasle (2017)). These estimators outperform classical least-squares estimators when data are heavy-tailed and/or are corrupted. None of these procedures can be implemented, which is the major issue of current MOM procedures"
      "en" => "Median-of-means (MOM) based procedures have been recently introduced in learning theory (Lugosi and Mendelson (2019); Lecué and Lerasle (2017)). These estimators outperform classical least-squares estimators when data are heavy-tailed and/or are corrupted. None of these procedures can be implemented, which is the major issue of current MOM procedures"
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-05-03T14:22:45.000Z"
    "docTitle" => "Robust machine learning by median-of-means: Theory and practice"
    "docSurtitle" => "Articles"
    "authorNames" => "<a href="/cv/lecue-guillaume">LECUE Guillaume</a>, LERASLE Matthieu"
    "docDescription" => "<span class="document-property-authors">LECUE Guillaume, LERASLE Matthieu</span><br><span class="document-property-authors_fields">Systèmes d’Information, Sciences de la Décision et Statistiques</span> | <span class="document-property-year">2020</span>"
    "keywordList" => ""
    "docPreview" => "<b>Robust machine learning by median-of-means: Theory and practice</b><br><span>2020-04 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://projecteuclid.org/journals/annals-of-statistics/volume-48/issue-2/Robust-machine-learning-by-median-of-means--Theory-and/10.1214/19-AOS1828.short" target="_blank">Robust machine learning by median-of-means: Theory and practice</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.799057
  +"parent": null
}