Mots-clés

Nombre de documents

39

Olivier Cappé


CNRS senior researcher at the DI ENS Lab, in the VALDA Team.

This page lists publications that are available online from the HAL achive, an exhaustive list of publications is available from my home page.


Article dans une revue17 documents

  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. Journal of Machine Learning Research, Journal of Machine Learning Research, 2016, 17, pp.1-42. 〈hal-01024894v2〉
  • Alexandre Lung Yut Fong, Celine Levy Leduc, Olivier Cappe. Homogeneity and change-point detection tests for multivariate data using rank statistics. Journal de la SFdS, 2015, 156 (4), pp.133-162. 〈hal-01528845〉
  • Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl. Adaptive MCMC with online relabeling. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2015, 21 (3), p. 1304-1340. 〈10.3150/13-BEJ578〉. 〈in2p3-01115785〉
  • Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé. Soft Nonnegative Matrix Co-Factorization. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, 62 (22), pp.5940-5949. 〈10.1109/TSP.2014.2360141〉. 〈hal-01116863〉
  • Zaid Harchaoui, Francis Bach, Olivier Cappé, Eric Moulines. Kernel-Based Methods for Hypothesis Testing: A Unified View. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2013, Special Issue on Advances in Kernel-Based Learning for Signal Processing, 30 (4), pp.87-97. 〈10.1109/MSP.2013.2253631〉. 〈hal-00841978〉
  • Olivier Cappé, Aurélien Garivier, Odalric-Ambrym Maillard, Rémi Munos, Gilles Stoltz. Kullback-Leibler Upper Confidence Bounds for Optimal Sequential Allocation. Annals of Statistics, Institute of Mathematical Statistics, 2013, 41 (3), pp.1516-1541. 〈hal-00738209v2〉
  • Olivier Cappé. Online EM Algorithm for Hidden Markov Models. J. Comput. Graph. Statist., 2011, 20 (3), pp.728-749. 〈10.1198/jcgs.2011.09109〉. 〈hal-00410106v2〉
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Distributed detection/localization of change-points in high-dimensional network traffic data. Statistics and Computing, Springer Verlag (Germany), 2011, pp.1-12. 〈10.1007/s11222-011-9240-5〉. 〈hal-00420862v2〉
  • Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, François Yvon. Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling. IEEE J. Sel. Topics Signal Process, 2010, 4 (6), pp.953-964. 〈10.1109/JSTSP.2010.2076150〉. 〈hal-00414107v2〉
  • Sarah Filippi, Olivier Cappé, Aurélien Garivier. Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2010, 5 (1), pp.68 - 76. 〈10.1109/JSTSP.2010.2058091〉. 〈hal-00408867v2〉
  • Olivier Cappé, Eric Moulines. Online EM Algorithm for Latent Data Models. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2009, 71 (3), pp.593-613. 〈10.1111/j.1467-9868.2009.00698.x〉. 〈hal-00201327v4〉
  • Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappe, Jean-François Cardoso, et al.. Estimation of cosmological parameters using adaptive importance sampling. Physical Review D, American Physical Society, 2009, 80, pp.023507. 〈10.1103/PhysRevD.80.023507〉. 〈hal-00450727〉
  • Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian Robert. Adaptive Importance Sampling in General Mixture Classes. Statistics and Computing, Springer Verlag (Germany), 2008, 18 (4), pp.447-459. 〈10.1007/s11222-008-9059-x〉. 〈hal-00180669v4〉
  • Jimmy Olsson, Olivier Cappé, Randal Douc, Eric Moulines. Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2008, 14 (1), pp.155-179. 〈10.3150/07-BEJ6150〉. 〈hal-00096080v2〉
  • Loïs Rigouste, Olivier Cappé, François Yvon. Inference and Evaluation of the Multinomial Mixture Model for Text Clustering. Information Processing & Management, Elsevier, 2007, 43 (5), pp.1260­1280. 〈10.1016/j.ipm.2006.11.001〉. 〈hal-00080133〉
  • Olivier Cappé, Arnaud Guillin, Jean-Michel Marin, Christian Robert. Population Monte Carlo. Journal of Computational and Graphical Statistics, Taylor & Francis, 2004, 13 (4), pp.907-929. 〈hal-01337419〉
  • Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina Petropulu, Xueshi Yang. Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2002, ? (1), pp.14-27. 〈hal-00621749〉

Communication dans un congrès14 documents

  • Claire Vernade, Olivier Cappé, Vianney Perchet. Stochastic Bandit Models for Delayed Conversions. Conference on Uncertainty in Artificial Intelligence, Aug 2017, Sydney, Australia. 〈http://auai.org/uai2017/index.php〉. 〈hal-01545667v2〉
  • Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu. Effective Large-Scale Online Influence Maximization. ICDM 2017 - IEEE International Conference on Data Mining, Nov 2017, New Orleans, France. IEEE, 〈10.1109/ICDM.2017.118〉. 〈hal-01687722〉
  • Paul Lagrée, Claire Vernade, Olivier Cappé. Multiple-Play Bandits in the Position-Based Model. Neural Information Processing Systems (NIPS), Jan 2016, Barcelone, Spain. 〈hal-01328003〉
  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of A/B Testing. Conference on Learning Theory, Jun 2014, Barcelona, Spain. JMLR: Workshop and Conference Proceedings, 35, pp.461-481, 2014, Proceedings of The 27th Conference on Learning Theory. 〈http://jmlr.org/proceedings/papers/v35/〉. 〈hal-00990254v2〉
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Robust Retrospective Multiple Change-point Estimation for Multivariate Data. Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.405--408, 2011, 〈10.1109/SSP.2011.5967716〉. 〈hal-00564410v2〉
  • Sarah Filippi, Olivier Cappé, Aurélien Garivier. Optimism in Reinforcement Learning and Kullback-Leibler Divergence. Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on, Sep 2010, Monticello (Illinois), United States. pp.115 - 122, 2010, 〈10.1109/ALLERTON.2010.5706896〉. 〈hal-00476116v3〉
  • Erwan Moreau, François Yvon, Olivier Cappé. Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé. TALN 2008, Jun 2008, Avignon, France. pp.Online Proceedings, 2008. 〈hal-00487081〉
  • Erwan Moreau, François Yvon, Olivier Cappé. Semi-automatic labeling of coreferent named entities: an experimental study. LREC 2008 workshop W15: 'Resources and Evaluation for Identity Matching, Entity Resolution and Entity Management', 2008, Marrakech, Morocco. pp.1-7, 2008. 〈hal-00487082〉
  • Erwan Moreau, François Yvon, Olivier Cappé. Robust similarity measures for named entities matching. COLING 2008, Aug 2008, Manchester, United Kingdom. ACL, pp.593-600, 2008. 〈hal-00487084〉
  • Randal Douc, Olivier Cappé, Eric Moulines. Comparison of Resampling Schemes for Particle Filtering. 2005, pp.64-69, 2005, ISSN: 1845-5921. 〈hal-00005883〉
  • Fabrice Clérot, Olivier Collin, Olivier Cappé, Eric Moulines. Le modèle "monomaniaque" un modèle statistique simple pour l'analyse exploratoire d'un corpus de textes. Jun 2004, 2004. 〈sic_00001261〉
  • Eric Grivel, Olivier Cappé, A. Ferrari. Le modèle harmonique et son application au rehaussement de signaux de parole. GRETSI, 2001, Toulouse, France. pp., 2001. 〈hal-00167763〉
  • Olivier Cappé. Spectral Envelope Estimation using a Penalized Likelihood Criterion. IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 1997, Mohonk, États-Unis. 1997. 〈hal-01105474〉
  • Olivier Cappé. Estimation robuste de l'enveloppe spectrale d'un signal harmonique bruité. Seizième colloque Gretsi sur le traitement du signal et des images, Sep 1997, Grenoble, France. 1997. 〈hal-01105475〉

Chapitre d'ouvrage2 documents

  • Vincent Claveau, Olivier Cappé. Les données multimédia. Les Big Data à découvert, CNRS Éditions, 2017, 978-2-271-11464-8. 〈hal-01848660〉
  • Olivier Cappé. Online Expectation-Maximisation. K. Mengersen and M. Titterington and C. P. Robert. Mixtures: Estimation and Applications, Wiley, pp.1-53, 2011. 〈hal-00532968〉

Pré-publication, Document de travail5 documents

  • Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu. Online Model-Free Influence Maximization with Persistence. 2017. 〈hal-01478788〉
  • Claire Vernade, Olivier Cappé. Learning From Missing Data Using Selection Bias in Movie Recommendation. 2015. 〈hal-01207114〉
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Homogeneity and change-point detection tests for multivariate data using rank statistics. 30 pages, submitted. 2012. 〈hal-00607410v3〉
  • Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappé, Jean-François Cardoso, et al.. Estimation of cosmological parameters using adaptive importance sampling. 17 pages, 11 figures. 2009. 〈hal-00365944〉
  • Martin Kilbinger, Darren Wraith, Christian Robert, Karim Benabed, Olivier Cappe, et al.. Bayesian model comparison in cosmology with Population Monte Carlo. 11 pages, 6 figures. Submitted to MNRAS. 2009. 〈hal-00441161〉

Rapport1 document

  • Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian Robert. Adaptive Importance Sampling in General Mixture Classes. [Research Report] RR-6332, INRIA. 2008. 〈inria-00181474v4〉