<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-04131641</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-20T05:08:35+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Efficient preconditioned stochastic gradient descent for estimation in latent variable models</title>
            <author role="aut">
              <persName>
                <forename type="first">Charlotte</forename>
                <surname>Baey</surname>
              </persName>
              <email type="md5">30c6cf9117db1af43fece8508b88d77d</email>
              <email type="domain">univ-lille.fr</email>
              <ptr type="url" target="https://baeyc.github.io/"/>
              <idno type="idhal" notation="string">charlottebaey</idno>
              <idno type="idhal" notation="numeric">772613</idno>
              <idno type="halauthorid" notation="string">566532-772613</idno>
              <idno type="IDREF">https://www.idref.fr/181618222</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-1413-1058</idno>
              <affiliation ref="#struct-32"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Maud</forename>
                <surname>Delattre</surname>
              </persName>
              <email type="md5">8511c7539f02f7e693ffdf1952ff72fa</email>
              <email type="domain">inrae.fr</email>
              <idno type="idhal" notation="string">madelattre</idno>
              <idno type="idhal" notation="numeric">14258</idno>
              <idno type="halauthorid" notation="string">10864-14258</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-3775-9278</idno>
              <idno type="IDREF">https://www.idref.fr/162348576</idno>
              <affiliation ref="#struct-1002434"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Estelle</forename>
                <surname>Kuhn</surname>
              </persName>
              <email type="md5">1d900551c7cf09fe7eb61ea9b94de3f9</email>
              <email type="domain">inrae.fr</email>
              <idno type="idhal" notation="string">estellekuhn</idno>
              <idno type="idhal" notation="numeric">172675</idno>
              <idno type="halauthorid" notation="string">36811-172675</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-1236-8190</idno>
              <idno type="IDREF">https://www.idref.fr/078827345</idno>
              <idno type="VIAF">https://viaf.org/viaf/220148609</idno>
              <affiliation ref="#struct-1002434"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Jean-Benoist</forename>
                <surname>Leger</surname>
              </persName>
              <email type="md5">bb2c741e4c35333b3cff988499509be3</email>
              <email type="domain">agroparistech.fr</email>
              <idno type="idhal" notation="numeric">1081903</idno>
              <idno type="halauthorid" notation="string">844396-1081903</idno>
              <affiliation ref="#struct-389870"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Sarah</forename>
                <surname>Lemler</surname>
              </persName>
              <email type="md5">12c57690e794ea3612005eb1cce388ff</email>
              <email type="domain">centralesupelec.fr</email>
              <idno type="idhal" notation="string">sarah-lemler</idno>
              <idno type="idhal" notation="numeric">170727</idno>
              <idno type="halauthorid" notation="string">24628-170727</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-6566-296X</idno>
              <idno type="IDREF">https://www.idref.fr/224816659</idno>
              <idno type="VIAF">https://viaf.org/viaf/137152380127301761743</idno>
              <affiliation ref="#struct-1042590"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Maud</forename>
                <surname>DELATTRE</surname>
              </persName>
              <email type="md5">8511c7539f02f7e693ffdf1952ff72fa</email>
              <email type="domain">inrae.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2023-06-19 17:49:38</date>
              <date type="whenWritten">2023</date>
              <date type="whenModified">2026-02-13 03:18:43</date>
              <date type="whenReleased">2023-06-22 14:26:03</date>
              <date type="whenProduced">2023-07-23</date>
              <date type="whenEndEmbargoed">2023-06-19</date>
              <ref type="file" target="https://hal.science/hal-04131641v1/document">
                <date notBefore="2023-06-19"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-04131641v1/file/main_regular.pdf" id="file-4131641-3598491">
                <date notBefore="2023-06-19"/>
              </ref>
              <ref type="externalLink" target="http://arxiv.org/pdf/2306.12841"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="536441">
                <persName>
                  <forename>Maud</forename>
                  <surname>DELATTRE</surname>
                </persName>
                <email type="md5">8511c7539f02f7e693ffdf1952ff72fa</email>
                <email type="domain">inrae.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-04131641</idno>
            <idno type="halUri">https://hal.science/hal-04131641</idno>
            <idno type="halBibtex">baey:hal-04131641</idno>
            <idno type="halRefHtml">&lt;i&gt;40th International Conference on Machine Learning (ICML 2023)&lt;/i&gt;, Jul 2023, Honolulu, United States</idno>
            <idno type="halRef">40th International Conference on Machine Learning (ICML 2023), Jul 2023, Honolulu, United States</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-4131641-3598491"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="UNIV-COMPIEGNE">Université de Technologie de Compiègne</idno>
            <idno type="stamp" n="INSMI">CNRS-INSMI - INstitut des Sciences Mathématiques et de leurs Interactions</idno>
            <idno type="stamp" n="HEUDIASYC" corresp="UNIV-COMPIEGNE">Laboratoire HEUDIASYC - Heuristique et Diagnostic des Systèmes Complexes</idno>
            <idno type="stamp" n="CENTRALESUPELEC">Ecole CentraleSupélec</idno>
            <idno type="stamp" n="MICS">Mathématiques et Informatique pour la Complexité et les Systèmes</idno>
            <idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="HDS_CID" corresp="HEUDIASYC">Connaissances, Incertitudes et Données </idno>
            <idno type="stamp" n="UNIV-LILLE">Université de Lille</idno>
            <idno type="stamp" n="INRAE">Institut National de Recherche en Agriculture, Alimentation et Environnement</idno>
            <idno type="stamp" n="INRAE-UPSACLAY" corresp="UNIV-PARIS-SACLAY">INRAE-UPSACLAY</idno>
            <idno type="stamp" n="UNIVERSITE-PARIS-SACLAY" corresp="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="GS-MATHEMATIQUES">Graduate School Mathématiques</idno>
            <idno type="stamp" n="GS-COMPUTER-SCIENCE">Graduate School Computer Science</idno>
            <idno type="stamp" n="GS-LIFE-SCIENCES-HEALTH" corresp="UNIVERSITE-PARIS-SACLAY">Graduate School Life Sciences and Health</idno>
            <idno type="stamp" n="MAIAGE">MaIAGE</idno>
            <idno type="stamp" n="ALLIANCE-SU"> Alliance Sorbonne Université</idno>
            <idno type="stamp" n="MESOCENTRE-LILLE">Mésocentre de Lille</idno>
            <idno type="stamp" n="MICA-UNITES">MICA-Unités </idno>
            <idno type="stamp" n="MATHNUM">Département MathNum</idno>
            <idno type="stamp" n="RESEAU-EAU">Réseau "Systèmes Agricoles et Eau"</idno>
            <idno type="stamp" n="LPP-MATH">Laboratoire Paul Painlevé (UMR8524)</idno>
            <idno type="stamp" n="TEST-MATHNUM">Test MathNum</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Efficient preconditioned stochastic gradient descent for estimation in latent variable models</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Charlotte</forename>
                    <surname>Baey</surname>
                  </persName>
                  <email type="md5">30c6cf9117db1af43fece8508b88d77d</email>
                  <email type="domain">univ-lille.fr</email>
                  <ptr type="url" target="https://baeyc.github.io/"/>
                  <idno type="idhal" notation="string">charlottebaey</idno>
                  <idno type="idhal" notation="numeric">772613</idno>
                  <idno type="halauthorid" notation="string">566532-772613</idno>
                  <idno type="IDREF">https://www.idref.fr/181618222</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-1413-1058</idno>
                  <affiliation ref="#struct-32"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Maud</forename>
                    <surname>Delattre</surname>
                  </persName>
                  <email type="md5">8511c7539f02f7e693ffdf1952ff72fa</email>
                  <email type="domain">inrae.fr</email>
                  <idno type="idhal" notation="string">madelattre</idno>
                  <idno type="idhal" notation="numeric">14258</idno>
                  <idno type="halauthorid" notation="string">10864-14258</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-3775-9278</idno>
                  <idno type="IDREF">https://www.idref.fr/162348576</idno>
                  <affiliation ref="#struct-1002434"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Estelle</forename>
                    <surname>Kuhn</surname>
                  </persName>
                  <email type="md5">1d900551c7cf09fe7eb61ea9b94de3f9</email>
                  <email type="domain">inrae.fr</email>
                  <idno type="idhal" notation="string">estellekuhn</idno>
                  <idno type="idhal" notation="numeric">172675</idno>
                  <idno type="halauthorid" notation="string">36811-172675</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-1236-8190</idno>
                  <idno type="IDREF">https://www.idref.fr/078827345</idno>
                  <idno type="VIAF">https://viaf.org/viaf/220148609</idno>
                  <affiliation ref="#struct-1002434"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Jean-Benoist</forename>
                    <surname>Leger</surname>
                  </persName>
                  <email type="md5">bb2c741e4c35333b3cff988499509be3</email>
                  <email type="domain">agroparistech.fr</email>
                  <idno type="idhal" notation="numeric">1081903</idno>
                  <idno type="halauthorid" notation="string">844396-1081903</idno>
                  <affiliation ref="#struct-389870"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Sarah</forename>
                    <surname>Lemler</surname>
                  </persName>
                  <email type="md5">12c57690e794ea3612005eb1cce388ff</email>
                  <email type="domain">centralesupelec.fr</email>
                  <idno type="idhal" notation="string">sarah-lemler</idno>
                  <idno type="idhal" notation="numeric">170727</idno>
                  <idno type="halauthorid" notation="string">24628-170727</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-6566-296X</idno>
                  <idno type="IDREF">https://www.idref.fr/224816659</idno>
                  <idno type="VIAF">https://viaf.org/viaf/137152380127301761743</idno>
                  <affiliation ref="#struct-1042590"/>
                </author>
              </analytic>
              <monogr>
                <idno type="localRef">3</idno>
                <title level="m">Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.</title>
                <meeting>
                  <title>40th International Conference on Machine Learning (ICML 2023)</title>
                  <date type="start">2023-07-23</date>
                  <date type="end">2023-07-29</date>
                  <settlement>Honolulu</settlement>
                  <country key="US">United States</country>
                </meeting>
                <imprint>
                  <date type="datePub">2023-06</date>
                </imprint>
              </monogr>
              <idno type="arxiv">2306.12841</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="math.math-st">Mathematics [math]/Statistics [math.ST]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Latent variable models are powerful tools for modeling complex phenomena involving in particular partially observed data, unobserved variables or underlying complex unknown structures. Inference is often difficult due to the latent structure of the model. To deal with parameter estimation in the presence of latent variables, well-known efficient methods exist, such as gradient-based and EM-type algorithms, but with practical and theoretical limitations. In this paper, we propose as an alternative for parameter estimation an efficient preconditioned stochastic gradient algorithm. Our method includes a preconditioning step based on a positive definite Fisher information matrix estimate. We prove convergence results for the proposed algorithm under mild assumptions for very general latent variables models. We illustrate through relevant simulations the performance of the proposed methodology in a nonlinear mixed effects model and in a stochastic block model.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-32" status="VALID">
          <idno type="IdRef">161603971</idno>
          <idno type="ISNI">0000000403684081</idno>
          <idno type="RNSR">199812852H</idno>
          <idno type="ROR">https://ror.org/043n4fm24</idno>
          <idno type="Wikidata">Q3214464</idno>
          <orgName>Laboratoire Paul Painlevé - UMR 8524</orgName>
          <orgName type="acronym">LPP</orgName>
          <date type="start">2004-01-01</date>
          <desc>
            <address>
              <addrLine>Université de Lille - Sciences et technologies - U.F.R. de Mathématiques - 59655 Villeneuve d'Ascq Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://math.univ-lille.fr/</ref>
          </desc>
          <listRelation>
            <relation name="UMR8524" active="#struct-374570" type="direct"/>
            <relation name="UMR8524" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-1002434" status="VALID">
          <idno type="RNSR">201521778L</idno>
          <orgName>Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas]</orgName>
          <orgName type="acronym">MaIAGE</orgName>
          <date type="start">2020-01-01</date>
          <desc>
            <address>
              <addrLine>Bât. 233, Domaine de Vilvert - 78352 Jouy-en-Josas Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://maiage.inrae.fr</ref>
          </desc>
          <listRelation>
            <relation name="UPR 1404" active="#struct-577435" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-389870" status="VALID">
          <idno type="IdRef">110410807</idno>
          <idno type="ISNI">0000 0004 0452 2471</idno>
          <idno type="RNSR">201220263C</idno>
          <idno type="ROR">https://ror.org/0075hvk77</idno>
          <orgName>Heuristique et Diagnostic des Systèmes Complexes [Compiègne]</orgName>
          <orgName type="acronym">Heudiasyc</orgName>
          <desc>
            <address>
              <addrLine>UTC, CS 60319 - 57 avenue de Landshut - 60203 Compiègne cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.hds.utc.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-93027" type="direct"/>
            <relation name="UMR7253" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-1042590" status="VALID">
          <idno type="IdRef">14797299X</idno>
          <idno type="RNSR">200615286U</idno>
          <idno type="ROR">https://ror.org/03q29s414</idno>
          <orgName>Mathématiques et Informatique pour la Complexité et les Systèmes</orgName>
          <orgName type="acronym">MICS</orgName>
          <date type="start">2020-01-01</date>
          <desc>
            <address>
              <addrLine>Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://mics.centralesupelec.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-411575" type="direct"/>
            <relation active="#struct-419361" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-374570" status="VALID">
          <idno type="IdRef">223446556</idno>
          <idno type="ISNI">0000 0001 2242 6780</idno>
          <idno type="ROR">https://ror.org/02kzqn938</idno>
          <idno type="Wikidata">Q3551621</idno>
          <orgName>Université de Lille</orgName>
          <desc>
            <address>
              <addrLine>EPE Université de Lille. -- 42 rue Paul Duez, 59000 Lille</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.univ-lille.fr/</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-577435" status="VALID">
          <idno type="ROR">https://ror.org/003vg9w96</idno>
          <orgName>Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement</orgName>
          <orgName type="acronym">INRAE</orgName>
          <date type="start">2020-01-01</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-93027" status="VALID">
          <idno type="ROR">https://ror.org/04y5kwa70</idno>
          <orgName>Université de Technologie de Compiègne</orgName>
          <orgName type="acronym">UTC</orgName>
          <desc>
            <address>
              <addrLine>Université de Technologie de Compiègne - rue du Docteur Schweitzer- CS 60319 - 60203 Compiègne Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.utc.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-411575" status="VALID">
          <idno type="IdRef">184443237</idno>
          <idno type="ROR">https://ror.org/019tcpt25</idno>
          <orgName>CentraleSupélec</orgName>
          <desc>
            <address>
              <addrLine>3, rue Joliot Curie,Plateau de Moulon,91192 GIF-SUR-YVETTE Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.centralesupelec.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-419361" status="VALID">
          <idno type="IdRef">241345251</idno>
          <idno type="ROR">https://ror.org/03xjwb503</idno>
          <orgName>Université Paris-Saclay</orgName>
          <desc>
            <address>
              <addrLine>Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>