Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "13907"
#_source: array:26 [
"id" => "13907"
"slug" => "13907-sparse-single-index-model"
"yearMonth" => "2013-01"
"year" => "2013"
"title" => "Sparse Single-Index Model"
"description" => "ALQUIER, P. et BIAU, G. (2013). Sparse Single-Index Model. <i>Journal of Machine Learning Research</i>, 14, pp. 243-280. 
ALQUIER, P. et BIAU, G. (2013). Sparse Single-Index Model. <i>Journal of Machine Learning Research</ "
"authors" => array:2 [
0 => array:3 [
"name" => "ALQUIER Pierre"
"bid" => "B00809923"
"slug" => "alquier-pierre"
]
1 => array:1 [
"name" => "BIAU Gérard"
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "single-index model"
1 => "sparsity"
2 => "regression estimation"
3 => "PAC-Bayesian"
4 => "oracle inequality"
5 => "reversible jump Markov chain Monte Carlo method"
]
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://jmlr.csail.mit.edu/papers/v14/alquier13a.html"
"publicationInfo" => array:3 [
"pages" => "243-280"
"volume" => "14"
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
"abstract" => array:2 [
"fr" => "We consider the single-index model estimation problem from a sparsity perspective using a PAC-Bayesian approach. On the theoretical side, we offer a sharp oracle inequality, which is more powerful than the best known oracle inequalities for other common procedures of single-index recovery. The proposed method is implemented by means of the reversible jump Markov chain Monte Carlo technique and its performance is compared with that of standard procedures. We consider the single-index model estimation problem from a sparsity perspective using a PAC-Bayesi "
"en" => "We consider the single-index model estimation problem from a sparsity perspective using a PAC-Bayesian approach. On the theoretical side, we offer a sharp oracle inequality, which is more powerful than the best known oracle inequalities for other common procedures of single-index recovery. The proposed method is implemented by means of the reversible jump Markov chain Monte Carlo technique and its performance is compared with that of standard procedures. We consider the single-index model estimation problem from a sparsity perspective using a PAC-Bayesi "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-02T08:21:48.000Z"
"docTitle" => "Sparse Single-Index Model"
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/alquier-pierre">ALQUIER Pierre</a>, BIAU Gérard"
"docDescription" => "<span class="document-property-authors">ALQUIER Pierre, BIAU Gérard</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2013</span> <span class="document-property-authors">ALQUIER Pierre, BIAU Gérard</span><br><span class="document- "
"keywordList" => "<a href="#">single-index model</a>, <a href="#">sparsity</a>, <a href="#">regression estimation</a>, <a href="#">PAC-Bayesian</a>, <a href="#">oracle inequality</a>, <a href="#">reversible jump Markov chain Monte Carlo method</a> <a href="#">single-index model</a>, <a href="#">sparsity</a>, <a href="#">regression estimation</a>, "
"docPreview" => "<b>Sparse Single-Index Model</b><br><span>2013-01 | Articles </span>"
"docType" => "research"
"publicationLink" => "<a href="https://jmlr.csail.mit.edu/papers/v14/alquier13a.html" target="_blank">Sparse Single-Index Model</a> <a href="https://jmlr.csail.mit.edu/papers/v14/alquier13a.html" target="_blank">Sparse Single-Index "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.853208
+"parent": null
}
