@COMMENT{arlot_meta, INDEX = {META}, TYPE = {Personal bibliography}, AUTHOR = {Sylvain Arlot}, AUTHOR_URL = {http://www.di.ens.fr/~arlot/}, AUTHOR_ID_MR= {844642}, TITLE = {Publications of Sylvain Arlot}, HEADING = {Publications of Sylvain Arlot}, DESCRIPTION = { }, SHOW_SUBJECTS = {YES}, ARXIV = {Arlot}, AUTHOR_LIST = {http://www.di.ens.fr/~arlot/}, } @COMMENT{arlot_authors, AUTHOR_DATA = { Arlot, Jean-Eudes http://www.imcce.fr/~arlot/ Arlot, Sylvain http://www.di.ens.fr/~arlot/ Bach, Francis http://www.di.ens.fr/~fbach/ Bartlett, Peter L. http://www.cs.berkeley.edu/~bartlett/ Blanchard, Gilles http://users.math.uni-potsdam.de/~blanchard/ Bojanowski, Piotr http://www.di.ens.fr/~bojanows/ Celisse, Alain http://math.univ-lille1.fr/~celisse/ Chevalier, J\'er\^ome-Alexis https://team.inria.fr/parietal/team-members/jerome-alexis-chevalier/ Des{m}ars, Josselin http://www.imcce.fr/~desmars/ Garreau, Damien https://math.unice.fr/~dgarreau/ Genuer, Robin http://www.math.u-psud.fr/~genuer/ Harchaoui, Zaid http://www.harchaoui.eu/zaid/fr/index.php Lainey, Valery http://www.imcce.fr/~lainey/ Lajugie, R{\'e}mi http://www.di.ens.fr/~lajugie/ Lerasle, Matthieu http://math.unice.fr/~mlerasle/index.html Marmi, Stefano http://homepage.sns.it/marmi/ Massart, Pascal http://massart.pascal.free.fr/Site/Home.html Nguyen, Binh T. https://www.imo.universite-paris-saclay.fr/~tbnguyen/ Papini, Duccio https://www.dimi.uniud.it/members/duccio.papini/ Roquain, \'Etienne http://www.proba.jussieu.fr/pageperso/roquain/ Solnon, Matthieu http://www.di.ens.fr/~solnon/ Thirion, Bertrand https://team.inria.fr/parietal/team-members/bertrand-thirions-page/ Vienne, Alain http://www.imcce.fr/~vienne/ }} @COMMENT{arlot_subjects, INDEX = {SUBJECTS}, misc_HEAD = {Misc}, reech_HEAD = {Resampling and cross-validation}, modsel_HEAD = {Model or estimator selection}, chpt_HEAD = {Change-point detection}, rc_HEAD = {Confidence regions}, test_HEAD = {Multiple tests}, dynsys_HEAD = {Dynamical systems}, classif_HEAD = {Classification}, astro_HEAD = {Astronomy}, metric_HEAD = {Metric learning}, struct_HEAD = {Structured prediction}, randomforests_HEAD = {Random forests}, } %%%%%%%%%% %%%%%%%%%% Etude d'un modele de dynamique des populations @techreport{Arl:2004, AUTHOR = {Arlot, Sylvain}, TITLE = {{\'E}tude d'un mod{\`e}le de dynamique des populations}, NOTE = {arXiv:1204.0799 Master thesis. Advisor: Jean-Christophe Yoccoz.}, number = {2004-38}, institution={University Paris-Sud 11 Orsay}, MONTH = sep, YEAR = {2004}, SUBJECTS = {dynsys}, EPRINT = {arXiv:1204.0799}, URLS = {http://hal.archives-ouvertes.fr/hal-00679905/en/ [tech report] http://www.di.ens.fr/~arlot/dea.htm [more info]}, PDF = {http://hal.archives-ouvertes.fr/docs/00/67/99/05/PDF/dea.pdf}, } %%%%%%%%%% %%%%%%%%%% Resampling-based confidence re{g}{i}ons and multiple tests for a correlated random vector %%%%%%%%%% Followed by 2 papers in Annals of Statistics (Arl_Bla_Roq:2008:RC,Arl_Bla_Roq:2008:T) @incollection{Arl_Bla_Roq:2007b, AUTHOR = {Arlot, Sylvain and Blanchard, Gilles and Roquain, {\'E}tienne}, TITLE = {Resampling-based confidence re{g}{i}ons and mult{i}ple tests for a correlated random vector}, BOOKTITLE = {Learning theory}, SERIES = {Lecture Notes in Comput. Sci.}, VOLUME = {4539}, PAGES = {127--141}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2007}, MRCLASS = {62F25 (62F40 68T05)}, MRNUMBER = {MR2397583}, NOTE = {COLT 2007}, DOI = {10.1007/978-3-540-72927-3_11}, URL = {http://dx.doi.org/10.1007/978-3-540-72927-3_11}, SUBJECTS = {reech rc test}, } %%%%%%%%%% %%%%%%%%%% Resampling and Model Selection %%%%%%%%%% PhD Thesis @phdthesis{Arl:2007:phd, AUTHOR = {Arlot, Sylvain}, TITLE = {Resampling and Model Selection}, YEAR = {2007}, MONTH = dec, SCHOOL = {University Paris-Sud 11}, NOTE = {Available at \url{http://tel.archives-ouvertes.fr/tel-00198803v1}}, OAI = {oai:tel.archives-ouvertes.fr:tel-00198803\_v1}, URL = {http://tel.archives-ouvertes.fr/tel-00198803/en/}, SUBJECTS = {reech modsel rc test classif}, } %%%%%%%%%% %%%%%%%%%% V-fold cross-validation improved: V-fold penalization @incollection{Arl:2007:MFO, AUTHOR = {Arlot, Sylvain}, TITLE = {V-fold penalization: an alternative to {V}-fold cross-validation}, BOOKTITLE = {Oberwolfach {R}eports. {V}ol. 4, no. 4}, SERIES = {Mathematisches Forschungsinstitut Oberwolfach Report}, VOLUME = {4}, PAGES = {2951--2952}, PUBLISHER = {European Mathematical Society (EMS)}, ADDRESS = {Z\"urich}, YEAR = {2007}, NOTE = {Report No.50/2007. Workshop: Reassessing the Paradigms of Statistical Model Building}, SUBJECTS = {reech modsel}, } %% NUMBER = {4}, @misc{Arl:2008a, AUTHOR = {Arlot, Sylvain}, TITLE = {{$V$}-fold cross-validation improved: {$V$}-fold penalization}, NOTE = {arXiv:0802.0566v2}, YEAR = {2008}, MONTH = feb, SUBJECTS = {reech modsel}, EPRINT = {arXiv:0802.0566}, URL = {http://hal.archives-ouvertes.fr/hal-00239182/en/}, PDF = {http://hal.archives-ouvertes.fr/docs/00/24/31/57/PDF/penVF.pdf}, } @misc{Arl:2008a:app, AUTHOR = {Arlot, Sylvain}, TITLE = {Technical appendix to ``{$V$}-fold cross-validation improved: {$V$}-fold penalization''}, NOTE = {hal-00239182}, YEAR = {2008}, MONTH = feb, SUBJECTS = {reech modsel}, URL = {http://hal.archives-ouvertes.fr/hal-00239182/en/}, PDF = {http://hal.archives-ouvertes.fr/docs/00/24/31/57/PDF/penVF_appendix.pdf}, } %%%%%%%%%% %%%%%%%%%% Data-driven calibration of penalties for least-squares regression @article{Arl_Mas:2009:pente, AUTHOR = {Arlot, Sylvain and Massart, Pascal}, TITLE = {Data-driven calibration of penalties for least-squares regression}, JOURNAL = {J. Mach. Learn. Res.}, FJOURNAL = {Journal of Machine Learning Research (JMLR)}, VOLUME = {10}, YEAR = {2009}, PAGES = {245--279 (electronic)}, SUBJECTS = {modsel}, URL = {http://www.jmlr.org/papers/volume10/arlot09a/arlot09a.pdf [pdf]}, PDF = {http://www.di.ens.fr/willow/pdfs/2009_Arlot_Massart_JMLR.pdf}, } %%%%%%%%%% %%%%%%%%%% Estimating the accuracy of satellite ephemerides using the bootstrap method @article{Des_Arl_etal:2009, AUTHOR = {Des{m}ars, Josselin and Arlot, Sylvain and Arlot, Jean-Eudes and Lainey, Valery and Vienne, Alain}, TITLE = {Estimating the accuracy of satellite ephemerides using the bootstrap method}, JOURNAL = {Astronomy and Astrophysics}, FJOURNAL = {Astronomy and Astrophysics}, YEAR = {2009}, SUBJECTS = {reech astro}, PDF = {http://www.di.ens.fr/willow/pdfs/2009_AandA_Desmars_Arlot_etal.pdf}, URL = {http://www.aanda.org/index.php?option=article&access=doi&doi=10.1051/0004-6361/200811509}, month = may, volume = 499, pages = {321--330}, doi = {10.1051/0004-6361/200811509}, adsurl = {http://adsabs.harvard.edu/abs/2009A%26A...499..321D}, keywords = {planets and satellites: individual: Mimas, planets and satellites: individual: Titan, ephemerides, methods: statistical}, } %%%%%%%%%% %%%%%%%%%% Model selection by resampling penalization @article{Arl:2009:RP, AUTHOR = {Arlot, Sylvain}, TITLE = {Model selection by resampling penalization}, JOURNAL = {Electron. J. Stat.}, FJOURNAL = {Electronic Journal of Statistics}, VOLUME = {3}, YEAR = {2009}, PAGES = {557--624 (electronic)}, ISSN = {1935-7524}, DOI = {10.1214/08-EJS196}, SICI = {1935-7524(2009)3:0<557:MSBRP>2.0.CO;2-3}, URL = {http://dx.doi.org/10.1214/08-EJS196}, PDF = {http://www.di.ens.fr/willow/pdfs/2009_Arlot_EJS-2008-196.pdf}, MRCLASS = {62G09 (62G08)}, MRNUMBER = {2519533}, MRREVIEWER = {Mustapha Rachdi}, SUBJECTS = {reech modsel}, } @misc{Arl:2008b:app, AUTHOR = {Arlot, Sylvain}, TITLE = {Technical appendix to ``{M}odel selection by resampling penalization''}, NOTE = {Appendix to Electronic Journal of Statistics, 3, (2009), 557-624 (electronic). hal-00262478}, YEAR = {2009}, SUBJECTS = {reech modsel}, URL = {http://hal.archives-ouvertes.fr/hal-00262478/en/}, PDF = {http://hal.archives-ouvertes.fr/docs/00/39/62/24/ANNEX/RP_appendix.pdf} } %%%%%%%%%% %%%%%%%%%% Non-asymptotic resampling-based confidence re{g}{i}ons and multiple tests in high dimension %%%%%%%%%% long version of the COLT 2007 paper: Arl_Bla_Roq:2007b @article{Arl_Bla_Roq:2008:RC, AUTHOR = {Arlot, Sylvain and Blanchard, Gilles and Roquain, {\'E}tienne}, TITLE = {Some no{n}asymptotic results on resampling in high dimension, {I}: Confidence re{g}{i}ons}, JOURNAL = {Ann. Statist.}, FJOURNAL = {The Annals of Statistics}, VOLUME = {38}, NUMBER = {1}, PAGES = {51--82}, YEAR = {2010}, URL = {http://dx.doi.org/10.1214/08-AOS667}, PDF = {http://www.di.ens.fr/willow/pdfs/2010_Arlot_Blanchard_Roquain_AoS_a.pdf}, ISSN = {0090-5364}, DOI = {10.1214/08-AOS667}, ARXIV = {0712.0775}, SICI = {0090-5364(2010)38:1<51:SNRORI>2.0.CO;2-6}, CODEN = {ASTSC7}, MRCLASS = {62G15 (62G09)}, MRNUMBER = {2589316}, MRREVIEWER = {Feng Yao}, SUBJECTS = {reech rc}, } @article{Arl_Bla_Roq:2008:T, AUTHOR = {Arlot, Sylvain and Blanchard, Gilles and Roquain, {\'E}tienne}, TITLE = {Some no{n}asymptotic results on resampling in high dimension, {II}: Mult{i}ple tests}, JOURNAL = {Ann. Statist.}, FJOURNAL = {The Annals of Statistics}, VOLUME = {38}, NUMBER = {1}, PAGES = {83--99}, YEAR = {2010}, URL = {http://dx.doi.org/10.1214/08-AOS668}, PDF = {http://www.di.ens.fr/willow/pdfs/2010_Arlot_Blanchard_Roquain_AoS_b.pdf}, ISSN = {0090-5364}, DOI = {10.1214/08-AOS668}, CODEN = {ASTSC7}, MRCLASS = {62G10 (62G09)}, MRNUMBER = {2589317}, MRREVIEWER = {Feng Yao}, SUBJECTS = {reech rc}, } %%%%%%%%%% %%%%%%%%%% Margin adaptive model selection in statistical learning @article{Arl_Bar:2010:margin, AUTHOR = {Arlot, Sylvain and Bartlett, Peter L.}, TITLE = {Mar{g}in adaptive model selection in statistical learning}, JOURNAL = {Bernoulli}, FJOURNAL = {Bernoulli. Official Journal of the Bernoulli Society for Mathematical Statistics and Probability}, VOLUME = {17}, YEAR = {2011}, NUMBER = {2}, PAGES = {687--713}, ISSN = {1350-7265}, EPRINT = {arXiv:0804.2937}, PDF = {http://fr.arxiv.org/pdf/0804.2937v2}, url = {http://dx.doi.org/10.3150/10-BEJ288}, DOI = {10.3150/10-BEJ288}, ARXIV = {0804.2937}, SICI = {1350-7265(2011)17:2<687:MMSISL>2.0.CO;2-M}, MRCLASS = {62H30 (62J07)}, MRNUMBER = {2787611}, SUBJECTS = {modsel reech classif}, } %%%%%%%%%% %%%%%%%%%% Choosing a penalty for model selection in heteroscedastic regression @misc{Arl:2008:shape, AUTHOR = {Arlot, Sylvain}, TITLE = {Choosing a penalty for model selection in heteroscedastic regression}, NOTE = {arXiv:0812.3141}, MONTH = jun, YEAR = {2010}, SUBJECTS = {modsel}, EPRINT = {arXiv:0812.3141}, PDF = {http://arxiv.org/pdf/0812.3141v2}, } %%%%%%%%%% %%%%%%%%%% Segmentation in the mean of heteroscedastic data via cross-validation @article{Arl_Cel:2010:segm, AUTHOR = {Arlot, Sylvain and Celisse, Alain}, TITLE = {Segmentation of the mean of heteroscedastic data via cross-validation}, JOURNAL = {Stat. Comput.}, FJOURNAL = {Statistics and Computing}, VOLUME = {21}, YEAR = {2011}, NUMBER = {4}, PAGES = {613--632}, ISSN = {0960-3174}, CODEN = {STACE3}, MRCLASS = {62F10 (62G05 62G08)}, MRNUMBER = {2826696}, DOI = {10.1007/s11222-010-9196-x}, URL = {http://dx.doi.org/10.1007/s11222-010-9196-x}, EPRINT = {arXiv:0902.3977}, PDF = {http://arxiv.org/pdf/0902.3977v2}, SUBJECTS = {modsel reech chpt}, } %%% publisher = {Springer Netherlands}, %%%%%%%%%% %%%%%%%%%% A survey of cross-validation procedures for model selection @article{Arl_Cel:2010:surveyCV, AUTHOR = {Arlot, Sylvain and Celisse, Alain}, TITLE = {A survey of cross-validation procedures for model selection}, JOURNAL = {Statist. Surv.}, FJOURNAL = {Statistics Surveys}, VOLUME = {4}, YEAR = {2010}, PAGES = {40--79}, ISSN = {1935-7516}, DOI = {10.1214/09-SS054}, SICI = {1935-7516(2010)4:0<40:ASOCPF>2.0.CO;2-Q}, URL = {http://dx.doi.org/10.1214/09-SS054}, PDF = {http://www.di.ens.fr/willow/pdfs/2010_Arlot_Celisse_SS.pdf}, MRCLASS = {62G08 (62F07 62G05 62G10)}, MRNUMBER = {2602303}, SUBJECTS = {modsel reech}, } %%%%%%%%%% %%%%%%%%%% Data-driven calibration of linear estimators with minimal penalties @inproceedings{Arl_Bac:2009:minikernel_nips, title = {Data-driven calibration of linear estimators with minimal penalties}, author = {Sylvain Arlot and Francis Bach}, booktitle = {Advances in Neural Information Processing Systems 22}, editor = {Y. Ben{g}io and D. Schuurmans and J. Lafferty and C. K. I. Willi{a}ms and A. Culotta}, pages = {46--54}, year = {2009}, SUBJECTS = {modsel}, PDF = {http://papers.nips.cc/paper/3639-data-driven-calibration-of-linear-estimators-with-minimal-penalties.pdf}, } @incollection{Arl_Bac:2010:OWR, AUTHOR = {Arlot, Sylvain and Bach, Francis}, BOOKTITLE = {Oberwolfach {R}eports. {V}ol. 7, no. 1}, TITLE = {Data-driven penalties for linear estimators selection}, SERIES = {Mathematisches Forschungsinstitut Oberwolfach Report}, VOLUME = {7}, PUBLISHER = {European Mathematical Society (EMS)}, ADDRESS = {Z\"urich}, YEAR = {2010}, NOTE = {Report No.16/2010. Workshop: Modern Nonparametric Statistics: Going Beyond Asymptotic Minimax}, DOI = {10.4171/OWR/2010/16}, URL = {http://www.mfo.de/cgi-bin/path?cgi-bin/tagung_espe?type=21&tnr=1013}, PDF = {http://www.mfo.de/programme/schedule/2010/13/OWR_2010_16.pdf}, SUBJECTS = {modsel}, } % NUMBER = {1}, % PAGES = {???--???}, @misc{Arl_Bac:2009:minikernel_long_v2, AUTHOR = {Arlot, Sylvain and Bach, Francis}, TITLE = {Data-driven calibration of linear estimators with minimal penalties}, NOTE = {arXiv:0909.1884v2}, MONTH = sep, YEAR = {2011}, SUBJECTS = {modsel}, EPRINT = {arXiv:0909.1884}, PDF = {http://arxiv.org/pdf/0909.1884v2}, } %%%%%%%%%% %%%%%%%%%% Data-driven calibration of linear estimators with minimal penalties @article{Sol_Arl_Bac:2011:multitask, AUTHOR = {Solnon, Matthieu and Arlot, Sylvain and Bach, Francis}, TITLE = {Multi-task Regression using Minimal Penalties}, JOURNAL = {J. Mach. Learn. Res.}, FJOURNAL = {Journal of Machine Learning Research (JMLR)}, ISSN = {1532-4435}, VOLUME = {13}, YEAR = {2012}, PAGES = {2773--2812 (electronic)}, MONTH = sep, PDF = {http://www.jmlr.org/papers/volume13/solnon12a/solnon12a.pdf}, URL = {http://jmlr.csail.mit.edu/papers/v13/solnon12a.html}, MRCLASS = {62G08 (62H12 62J07)}, MRNUMBER = {2989914}, SUBJECTS = {modsel}, } %%%%%%%%%% %%%%%%%%%% Kernel change-point detection @article{Arl_Cel_Har:2012:kernelchpt, AUTHOR = {Arlot, Sylvain and Celisse, Alain and Harchaoui, Zaid}, TITLE = {A Kernel Multiple Change-point Algorithm via Model Selection}, JOURNAL = {J. Mach. Learn. Res.}, FJOURNAL = {Journal of Machine Learning Research (JMLR)}, VOLUME = {20}, NUMBER = {162}, PAGES = {1-56}, URL = {http://jmlr.org/papers/v20/16-155.html}, ISSN = {1532-4435}, YEAR = {2019}, SUBJECTS = {modsel chpt}, NOTE = {Preliminary versions at arXiv:1202.3878}, } %%%%%%%%%% %%%%%%%%%% V-fold methods for least-squares density estimation @article{Arl_Ler:2012:penVF:JMLR, AUTHOR = {Arlot, Sylvain and Lerasle, Matthieu}, TITLE = {Choice of {$V$} for {$V$}-Fold Cross-Validation in Least-Squares Density Estimation}, JOURNAL = {J. Mach. Learn. Res.}, FJOURNAL = {Journal of Machine Learning Research (JMLR)}, volume = {17}, number = {208}, pages = {1-50}, YEAR = {2016}, ISSN = {1532-4435}, EPRINT = {arXiv:1210.5830}, url = {http://jmlr.org/papers/v17/14-296.html}, PDF = {http://jmlr.org/papers/volume17/14-296/14-296.pdf}, SUBJECTS = {reech modsel}, } %%%%%%%%%% Metric learning @misc{Laj_Bac_Arl:2012:DISCML, AUTHOR = {{Laju{g}ie}, R\'emi and Bach, Francis and Arlot, Sylvain}, TITLE = {Metric learning for partitioning problems}, YEAR = {2012}, NOTE = {NIPS Workshop on Discrete Optimization in Machine Learning (DISCML) 2012}, MONTH = dec, URL = {http://www.discml.cc/}, SUBJECTS = {chpt metric}, } @misc{Laj_Arl_Bac:2013, AUTHOR = {{Laju{g}ie}, R\'emi and Arlot, Sylvain and Bach, Francis}, TITLE = {Large-Mar{g}in Metric Learning for Partitioning Problems}, YEAR = {2013}, MONTH = mar, NOTE = {arXiv:1303.1280}, EPRINT = {arXiv:1303.1280}, PDF = {http://arxiv.org/pdf/1303.1280}, SUBJECTS = {chpt metric}, } @inproceedings{Laj_Arl_Bac:2014:icml, AUTHOR = {{Laju{g}ie}, R\'emi and Arlot, Sylvain and Bach, Francis}, TITLE = {Large-Mar{g}in Metric Learning for Constrained Partitioning Problems}, booktitle={International Conference on Machine Learning (ICML)}, VOLUME = {32}, NUMBER = {1}, PAGES = {297--305}, YEAR = {2014}, SUBJECTS = {chpt metric}, } %% NOTE = {See also arXiv:1303.1280}, %%%%%%%%%% Approximation error of purely random forests @misc{Arl_Gen:2014:purfbias, AUTHOR = {Arlot, Sylvain and Genuer, Robin}, TITLE = {Analysis of purely random forests bias}, NOTE = {arXiv:1407.3939}, YEAR = {2014}, MONTH = jul, EPRINT = {arXiv:1407.3939}, PDF = {http://arxiv.org/pdf/1407.3939}, SUBJECTS = {modsel randomforests}, } %%%%%%%%%% Metric learning for dynamic time warping @inproceedings{Gar_Laj_Arl_Bac:2014:dtw_nips, TITLE = {Metric Learning for Temporal Sequence Alignment}, AUTHOR = {Garreau, Damien and Laju{g}ie, R\'emi and Arlot, Sylvain and Bach, Francis}, BOOKTITLE = {Advances in Neural Information Processing Systems 27}, EDITOR = {Z. Ghahramani and M. Welling and C. Cortes and N.D. Lawrence and K.Q. Weinberger}, PAGES = {1817--1825}, YEAR = {2014}, publisher = {Curran Associates, Inc.}, PDF = {http://papers.nips.cc/paper/5383-metric-learning-for-temporal-sequence-alignment.pdf}, URL = {http://papers.nips.cc/paper/5383-metric-learning-for-temporal-sequence-alignment}, SUBJECTS = {metric struct}, } %% NOTE = {arXiv:1409.3136}, %%%%%%%%%% Contributions to statistical learning theory: estimator selection and change-point detection %%%%%%%%%% HDR @phdthesis{Arl:2014:hdr, AUTHOR = {Arlot, Sylvain}, TITLE = {Contributions to statistical learning theory: estimator selection and change-point detection}, YEAR = {2014}, MONTH = dec, SCHOOL = {University Paris Diderot}, NOTE = {Habilitation {\`a} diriger des recherches. \url{http://tel.archives-ouvertes.fr/tel-01094989}}, URL = {http://tel.archives-ouvertes.fr/tel-01094989}, SUBJECTS = {modsel reech chpt}, TYPE = {Habilitation {\`a} diriger des recherches}, } %%%%%%%%%% %%%%%%%%%% Livre Exercices d'oral de math{\'e}matiques @book{Arl_Gar_Sto:2014:livreBL, AUTHOR = {Arlot, Sylvain and Garivier, Aur{\'e}lien and Stoltz, Gilles}, TITLE = {Exercices d'oral de math{\'e}matiques}, NOTE = {Classes pr{\'e}pas BL - ECE - ECS. Corrig{\'e}s et comment{\'e}s.}, PUBLISHER = {{Ellipses}}, SERIES = {Collection {R}{\'e}f{\'e}rences sciences}, YEAR = {2015}, MONTH = {mar}, ISBN = {978-2-34000394-1}, PAGES = {528}, SUBJECTS = {misc}, } %%%%%%%%%% Multi-label classification @misc{Laj_Boj_Arl_Bac:2014:multi, AUTHOR = {Laju{g}ie, R{\'e}mi and Bo{j}anowski, Piotr and Arlot, Sylvain and Bach, Francis}, TITLE = {Semidefinite and Spectral Relaxations for Multi-Label Classification}, YEAR = {2015}, MONTH = jun, NOTE = {arXiv:1506.01829}, EPRINT = {arXiv:1506.01829}, PDF = {http://arxiv.org/pdf/1506.01829}, SUBJECTS = {classif struct}, } %%%%%%%%%% Weakly supervised audio-to-score alignment @inproceedings{Laj_etal:2016:icassp, TITLE = {A weakly-supervised discriminative model for audio-to-score alignment}, AUTHOR = {Laju{g}ie, R\'emi and Bo{j}anowski, Piotr and Cuvillier, Phili{p}pe and Arlot, Sylvain and Bach, Francis}, BOOKTITLE = {Proceedings of the 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, YEAR = {2016}, } %% NOTE = {http://hal.archives-ouvertes.fr/hal-01251018}, %% URL = {http://hal.archives-ouvertes.fr/hal-01251018}, %%%%%%%Mar 2016, Shanghai, China %%%%%%%%%% Random forests: comment on Biau & Scornet's survey %%% Published: 19 April 2016 (online) / 5 May 2016 (print) @article{Arl_Gen:2016:comment, AUTHOR = {Arlot, Sylvain and Genuer, Robin}, TITLE = {Comments on: A random forest guided tour}, JOURNAL = {TEST}, FJOURNAL = {TEST}, URL = {http://dx.doi.org/10.1007/s11749-016-0484-4}, PDF = {http://arxiv.org/pdf/1604.01515.pdf}, YEAR = {2016}, VOLUME = {25}, NUMBER = {2}, PAGES = {228--238}, DOI = {10.1007/s11749-016-0484-4}, ISSN = {1863-8260}, EPRINT = {arXiv:1604.01515}, SUBJECTS = {randomforests}, } %%%%%%%%%% Consistance kernelchpt @article{Gar_Arl:2018:EJS, AUTHOR = {Garreau, Damien and Arlot, Sylvain}, TITLE = {Consistent change-point detection with kernels}, JOURNAL = {Electron. J. Statist.}, FJOURNAL = {Electronic Journal of Statistics}, YEAR = {2018}, VOLUME = {12}, NUMBER = {2}, PAGES = {4440-4486}, ISSN = {1935-7524}, DOI = {10.1214/18-EJS1513}, URL = {https://doi.org/10.1214/18-EJS1513}, SICI = {1935-7524(2018)12:2<4440:CCPDWK>2.0.CO;2-#}, SUBJECTS = {modsel chpt}, } %%% NOTE = {Preliminary versions available at arXiv:1612.04740}, %%%%%%%%%% Journees d'etude en statistique: 2 chapitres de livre @incollection{Arl:2016:JESchap2, TITLE = {Fondamentaux de l'apprentissage statistique}, AUTHOR = {Arlot, Sylvain}, BOOKTITLE = {Apprentissage statistique et donn\'ees massives}, EDITOR = {Maumy-Bertrand, Myriam and Saporta, Gilbert and Thomas-Agnan, Christine}, PUBLISHER = {{\'E}ditions Technip}, address = {Paris}, pages = {17--139}, isbn = {9782710811824}, YEAR = {2018}, URL = {http://www.editionstechnip.com/fr/catalogue-detail/2268/apprentissage-statistique-et-donnees-massives.html}, SUBJECTS = {classif modsel}, } %%% NOTE = {Preliminary version available at http://hal.archives-ouvertes.fr/hal-01485506}, @incollection{Arl:2016:JESchap3, TITLE = {Validation crois\'ee}, AUTHOR = {Arlot, Sylvain}, BOOKTITLE = {Apprentissage statistique et donn\'ees massives}, EDITOR = {Maumy-Bertrand, Myriam and Saporta, Gilbert and Thomas-Agnan, Christine}, PUBLISHER = {{\'E}ditions Technip}, address = {Paris}, pages = {141--174}, isbn = {9782710811824}, YEAR = {2018}, URL = {http://www.editionstechnip.com/fr/catalogue-detail/2268/apprentissage-statistique-et-donnees-massives.html}, SUBJECTS = {reech}, } %%% NOTE = {Preliminary version available at http://hal.archives-ouvertes.fr/hal-01485508}, %%%%%%%%%% Agghoo en classification: preprint @misc{Mai_Arl_Ler:2017, author = {Maillard, Guillaume and Arlot, Sylvain and Lerasle, Matthieu}, title = {Cross-validation improved by aggregation: Agghoo}, year = {2017}, month = Sep, NOTE = {arXiv:1709.03702}, URL = {http://arxiv.org/abs/1709.03702}, PDF = {https://arxiv.org/pdf/1709.03702.pdf}, EPRINT = {arXiv:1709.03702}, URL_HAL = {https://hal.archives-ouvertes.fr/hal-01585595}, PDF_HAL = {https://hal.archives-ouvertes.fr/hal-01585595/document}, HAL_ID = {hal-01585595}, SUBJECTS = {modsel reech classif}, } %%%%%%%%%% Siena @article{Arl_Mar_Pap:2019:journal, author = {Arlot, Sylvain and Marmi, Stefano and Papini, Duccio}, title = {Coupling the {Y}occoz-{B}irkeland population model with price dynamics: chaotic livestock commodities market cycles}, year = {2019}, journal = {Nonlinearity}, doi = {10.1088/1361-6544/ab0eb7}, url = {https://doi.org/10.1088%2F1361-6544%2Fab0eb7}, month = {jun}, publisher = {{IOP} Publishing}, volume = {32}, number = {7}, pages = {2564--2592}, SUBJECTS = {dynsys}, } %%% NOTE = {Preliminary version available at arXiv:1803.05404}, %%%%%%%%%% Gazette JCY @incollection{Arl_Mar_Mat_Yoc:2018, TITLE = {Dynamique de populations de petits mammif\`eres, saisonnalit\'e et attracteur de {H}\'enon -- comment une question d'\'ecologue a pu int\'eresser {J}ean-{C}hristophe}, AUTHOR = {Arlot, Sylvain and Marmi, Stefano and Matheus, Carlos and Yoccoz, Nigel Gilles}, BOOKTITLE = {La Gazette des Math\'ematiciens -- Num\'ero sp\'ecial Jean-Christophe Yoccoz}, EDITOR = {Crovisier, Sylvain and Berger, Pierre and Le Calvez, Patrice and Matheus, Carlos}, PUBLISHER = {SMF}, address = {Paris}, pages = {6--14}, isbn = {978-2-85629-879-4}, issn = {0224-8999}, YEAR = {2018}, MONTH = apr, NOTE = {In French.}, URL = {http://smf.emath.fr/content/la-gazette-des-mathematiciens}, SUBJECTS = {dynsys}, } %%%%%%%%%% Surveypenmin @article {Arl:2019:surveypenmin:journal, author = {Arlot, Sylvain}, title = {Minimal penalties and the slope heuristics: a survey}, year = {2019}, JOURNAL = {Journal de la SFdS}, FJOURNAL = {Journal de la Soci\'et\'e Fran\c{c}aise de Statistique}, VOLUME = {160}, NUMBER = {3}, PAGES = {1--106}, ISSN = {2102-6238}, SUBJECTS = {modsel}, } %%% NOTE = {arXiv:1901.07277}, @article {Arl:2019:surveypenmin:rejoinder, author = {Arlot, Sylvain}, title = {Rejoinder on: Minimal penalties and the slope heuristics: a survey}, year = {2019}, JOURNAL = {Journal de la SFdS}, FJOURNAL = {Journal de la Soci\'et\'e Fran\c{c}aise de Statistique}, VOLUME = {160}, NUMBER = {3}, PAGES = {158--168}, ISSN = {2102-6238}, SUBJECTS = {modsel}, } %%% NOTE = {arXiv:1909.13499}, %%%%%%%%%%%%% Aggregation of Multiple Knockoffs @inproceedings{Ngu_Che_Arl_Thi:2020:AKO, AUTHOR = {Nguyen, Tuan-Binh and Chevalier, J{\'e}r{\^o}me-Alexis and Thirion, Bertrand and Arlot, Sylvain}, TITLE = {Aggregation of Multiple Knockoffs}, year = {2020}, booktitle={Proceedings of the 37th International Conference on Machine Learning (ICML), PMLR}, VOLUME = {119}, YEAR = {2020}, SUBJECTS = {test}, } %%% NOTE = {arXiv:2002.09269}, %%% https://hal.archives-ouvertes.fr/hal-02888693 %%% python code: https://github.com/ja-che/hidimstat %%%%%%%%%% Agghoo RKHS et classification @article{Mai_Arl_Ler:2019, author = {Maillard, Guillaume and Arlot, Sylvain and Lerasle, Matthieu}, title = {Aggregated Hold-Out}, journal = {Journal of Machine Learning Research}, year = {2021}, volume = {22}, number = {20}, pages = {1--55}, url = {http://jmlr.org/papers/v22/19-624.html}, SUBJECTS = {modsel reech classif}, } %%% NOTE = {arXiv:1909.04890}, %%%%%%%%%% Online Orthogonal Matching Pursuit @misc{Saa_Bla_Arl:2020:oomp, AUTHOR = {Saad, El Mehdi and Blanchard, Gilles and Arlot, Sylvain}, TITLE = {Online Orthogonal Matching Pursuit}, NOTE = {arXiv:2011.11117}, YEAR = {2020}, MONTH = nov, EPRINT = {arXiv:2011.11117}, PDF = {http://arxiv.org/pdf/2011.11117}, } %% NOTE = {http://hal.archives-ouvertes.fr/hal-03141061}, %%%%%%%%%% One-Shot Federated Conformal Prediction (ICML 2023) @InProceedings{Hum_LeB_Bel_Arl:2023, title = {One-Shot Federated Conformal Prediction}, author = {Humbert, Pierre and Le Bars, Batiste and Bellet, Aur\'{e}lien and Arlot, Sylvain}, booktitle = {Proceedings of the 40th International Conference on Machine Learning}, pages = {14153--14177}, year = {2023}, editor = {Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan}, volume = {202}, series = {Proceedings of Machine Learning Research}, month = {23--29 Jul}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v202/humbert23a/humbert23a.pdf}, url = {https://proceedings.mlr.press/v202/humbert23a.html}, } %% NOTE = {https://arxiv.org/abs/2302.06322} %% NOTE = {https://hal.science/hal-03981605} %%%%%%%%%% Marginal and training-conditional guarantees in one-shot federated conformal prediction @misc{Hum_LeB_Bel_Arl:2024, AUTHOR = {Humbert, Pierre and Le Bars, Batiste and Bellet, Aur\'{e}lien and Arlot, Sylvain}, TITLE = {Marginal and training-conditional guarantees in one-shot federated conformal prediction}, NOTE = {arXiv:2405.12567}, YEAR = {2024}, MONTH = may, EPRINT = {arXiv:2405.12567}, PDF = {http://arxiv.org/pdf/2405.12567}, } %% NOTE = {https://hal.science/hal-04579882v11},