Nombre de documents

27

CV de Sylvain Arlot


Communication dans un congrès5 documents

  • Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis Bach. A weakly-supervised discriminative model for audio-to-score alignment. 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar 2016, Shanghai, China. Proceedings of the 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP). <http://www.icassp2016.org/>. <hal-01251018>
  • Damien Garreau, Rémi Lajugie, Sylvain Arlot, Francis Bach. Metric Learning for Temporal Sequence Alignment. Advances in Neural Information Processing Systems 27 (NIPS 2014), Dec 2014, Montréal, Canada. <hal-01062130>
  • Rémi Lajugie, Sylvain Arlot, Francis Bach. Large-Margin Metric Learning for Constrained Partitioning Problems. Proceedings of The 31st International Conference on Machine Learning, Jun 2014, Beijing, China. <hal-00796921>
  • Sylvain Arlot, Francis Bach. Data-driven calibration of linear estimators with minimal penalties. NIPS 2009 - Advances in Neural Information Processing Systems, Dec 2009, Vancouver, Canada. 22, pp.46--54, 2009. <hal-00414774v2>
  • Sylvain Arlot, Alain Celisse. Détection de ruptures dans la moyenne d'un processus hétéroscédastique par validation-croisée. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. <inria-00386677>

Pré-publication, Document de travail7 documents

  • Sylvain Arlot, Alain Celisse, Zaid Harchaoui. A kernel multiple change-point algorithm via model selection. 2016. <hal-00671174v2>
  • Sylvain Arlot, Matthieu Lerasle. Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. 2015. <hal-00743931v3>
  • Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis Bach. Semidefinite and Spectral Relaxations for Multi-Label Classification. 2015. <hal-01159321>
  • Sylvain Arlot. Choosing a penalty for model selection in heteroscedastic regression. 2010. <hal-00347811v2>
  • Sylvain Arlot. V-fold cross-validation improved: V-fold penalization. 40 pages, plus a separate technical appendix. 2008. <hal-00239182v2>
  • Sylvain Arlot. Model selection by resampling penalization. 2007. <hal-00125455v2>
  • Sylvain Arlot. Etude d'un modèle de dynamique des populations. This report (written in French) is a master 2 thesis made at University Paris-Sud (Orsay) in Sept.. 2004. <hal-00679905>

Article dans une revue9 documents

  • Sylvain Arlot, Robin Genuer. Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet. Test, Spanish Society of Statistics and Operations Research/Springer, 2016, 25 (2), pp.228--238. <http://dx.doi.org/10.1007/s11749-016-0484-4>. <10.1007/s11749-016-0484-4>. <hal-01297557>
  • Matthieu Solnon, Sylvain Arlot, Francis Bach. Multi-task Regression using Minimal Penalties. Journal of Machine Learning Research, Journal of Machine Learning Research, 2012, 13, pp.2773-2812. <hal-00610534v3>
  • Sylvain Arlot, Peter Bartlett. Margin adaptive model selection in statistical learning. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2011, 17 (2), pp.687-713. <10.3150/10-BEJ288>. <hal-00274327v2>
  • Sylvain Arlot, Alain Celisse. A survey of cross-validation procedures for model selection. Statistics Surveys, Institute of Mathematical Statistics (IMS), 2010, 4, pp.40--79. <10.1214/09-SS054>. <hal-00407906>
  • Sylvain Arlot, Gilles Blanchard, Etienne Roquain. Some non-asymptotic results on resampling in high dimension, I: Confidence regions, II: Multiple tests. The Annals of Statistics, IMS, 2010, 38 (1), pp.51-99. <hal-00194145v2>
  • Sylvain Arlot, Alain Celisse. Segmentation of the mean of heteroscedastic data via cross-validation. Statistics and Computing, Springer Verlag (Germany), 2010, <10.1007/s11222-010-9196-x>. <hal-00363627v2>
  • Sylvain Arlot, Pascal Massart. Data-driven calibration of penalties for least-squares regression. Journal of Machine Learning Research, Journal of Machine Learning Research, 2009, 10, pp.245-279. <hal-00243116v4>
  • Sylvain Arlot. Model selection by resampling penalization. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2009, 3, pp.557--624. <10.1214/08-EJS196>. <hal-00262478v2>
  • Josselin Desmars, Sylvain Arlot, J. E. Arlot, V. Lainey, Alain Vienne. Estimating the accuracy of satellite ephemerides using the bootstrap method. Astronomy and Astrophysics - A&A, EDP Sciences, 2009, 499, pp.321-330. <10.1051/0004-6361/200811509>. <hal-00401867>

HDR1 document

  • Sylvain Arlot. Contributions to statistical learning theory: estimator selection and change-point detection. Statistics [math.ST]. Université Paris Diderot, 2014. <tel-01094989>

Document associé à des manifestations scientifiques1 document

  • Sylvain Arlot. Sélection de modèles. Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France. <inria-00496738>

Rapport2 documents

  • Sylvain Arlot, Robin Genuer. Analysis of purely random forests bias. 2014. <hal-01023596>
  • Sylvain Arlot, Pascal Massart. Data-driven calibration of penalties for least-squares regression. [Research Report] RR-6556, INRIA. 2008, pp.40. <inria-00287631v2>

Thèse1 document

  • Sylvain Arlot. Rééchantillonnage et Sélection de modèles. Mathématiques [math]. Université Paris Sud - Paris XI, 2007. Français. <tel-00198803>

Chapitre d'ouvrage1 document

  • Sylvain Arlot, Gilles Blanchard, Etienne Roquain. Resampling-based confidence regions and multiple tests for a correlated random vector. Nader H. Bshouty and Claudio Gentile. Learning Theory 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA; June 13-15, 2007. Proceedings, Springer Berlin / Heidelberg, pp.127-141, 2007, Lecture Notes in Computer Science - Volume 4539/2007, <10.1007/978-3-540-72927-3_11>. <hal-00125670>