Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "13865"
#_source: array:26 [
"id" => "13865"
"slug" => "13865-estimation-bounds-and-sharp-oracle-inequalities-of-regularized-procedures-with-lipschitz-loss-functions 
13865-estimation-bounds-and-sharp-oracle-inequalities-of-regularized-procedures-with-lipschitz-loss- "
"yearMonth" => "2019-08"
"year" => "2019"
"title" => "Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functi "
"description" => "ALQUIER, P., COTTET, V. et LECUE, G. (2019). Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions. <i>Annals of Statistics</i>, 47(4), pp. 2117-2144. ALQUIER, P., COTTET, V. et LECUE, G. (2019). Estimation bounds and sharp oracle inequalities of regu "
"authors" => array:3 [
0 => array:3 [
"name" => "ALQUIER Pierre"
"bid" => "B00809923"
"slug" => "alquier-pierre"
]
1 => array:3 [
"name" => "LECUE Guillaume"
"bid" => "B00806953"
"slug" => "lecue-guillaume"
]
2 => array:1 [
"name" => "COTTET Vincent"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://doi.org/10.1214/18-AOS1742"
"publicationInfo" => array:3 [
"pages" => "2117-2144"
"volume" => "47"
"number" => "4"
]
"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" => """
Many classification and regression problems are solved in practice by regularized empirical risk minimizers (RERM). The risk is measured\n Many classification and regression problems are solved in practice by regularized empirical risk min
via a loss function. The quadratic loss function is the most popular function for\n
regression. It has been extensively studied (cf. [23, 31] among others). Still many other loss functions are popular among practitioners and are indeed extremely useful in specific situations regression. It has been extensively studied (cf. [23, 31] among others). Still many other loss funct
"""
"en" => """
Many classification and regression problems are solved in practice by regularized empirical risk minimizers (RERM). The risk is measured\n Many classification and regression problems are solved in practice by regularized empirical risk min
via a loss function. The quadratic loss function is the most popular function for\n
regression. It has been extensively studied (cf. [23, 31] among others). Still many other loss functions are popular among practitioners and are indeed extremely useful in specific situations regression. It has been extensively studied (cf. [23, 31] among others). Still many other loss funct
"""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-02T10:21:47.000Z"
"docTitle" => "Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functi "
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/alquier-pierre">ALQUIER Pierre</a>, <a href="/cv/lecue-guillaume">LECUE Guillaume</a>, COTTET Vincent <a href="/cv/alquier-pierre">ALQUIER Pierre</a>, <a href="/cv/lecue-guillaume">LECUE Guillaume</a>, "
"docDescription" => "<span class="document-property-authors">ALQUIER Pierre, LECUE Guillaume, COTTET Vincent</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2019</span> <span class="document-property-authors">ALQUIER Pierre, LECUE Guillaume, COTTET Vincent</span><br><s "
"keywordList" => ""
"docPreview" => "<b>Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions</b><br><span>2019-08 | Articles </span> <b>Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss fun "
"docType" => "research"
"publicationLink" => "<a href="https://doi.org/10.1214/18-AOS1742" target="_blank">Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions</a> <a href="https://doi.org/10.1214/18-AOS1742" target="_blank">Estimation bounds and sharp oracle ineq "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.969202
+"parent": null
}
