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51

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.


Journal articles19 documents

  • Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu. Algorithms for Online Influencer Marketing. ACM Transactions on Knowledge Discovery from Data (TKDD), ACM, 2019, 13 (1), pp.1-30. ⟨10.1145/3274670⟩. ⟨hal-01478788v2⟩
  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. Journal of Machine Learning Research, Microtome Publishing, 2016, 17, pp.1-42. ⟨hal-01024894v2⟩
  • 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⟩
  • Alexandre Lung Yut Fong, Celine Levy Leduc, Olivier Cappe. Homogeneity and change-point detection tests for multivariate data using rank statistics. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2015, 156 (4), pp.133-162. ⟨hal-01528845⟩
  • 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⟩
  • 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⟩
  • 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. 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⟩
  • 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⟩
  • 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⟩
  • Loïs Rigouste, Olivier Cappé, François Yvon. Inference and Evaluation of the Multinomial Mixture Model for Text Clustering. Information processing & management, [Oxford]: Elsevier Ltd., 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⟩
  • Gael Richard, Olivier Cappé. Synthèse de la parole à partir du texte. Techniques de l'Ingenieur, Techniques de l'ingénieur, 2003. ⟨hal-02652561⟩
  • Olivier Cappé, Éric 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⟩

Conference papers21 documents

  • Yoan Russac, Claire Vernade, Olivier Cappé. Weighted Linear Bandits for Non-Stationary Environments. NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02291460v2⟩
  • 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. ⟨10.1109/ICDM.2017.118⟩. ⟨hal-01687722⟩
  • Claire Vernade, Olivier Cappé, Vianney Perchet. Stochastic Bandit Models for Delayed Conversions. Conference on Uncertainty in Artificial Intelligence, Aug 2017, Sydney, Australia. ⟨hal-01545667v2⟩
  • Olivier Cappé, Claire Vernade. Modèle de distraction pour la sélection séquentielle de contenu. Journées de Statistiques, Jun 2016, Montpellier, France. ⟨hal-02287453⟩
  • 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. pp.461-481. ⟨hal-00990254v2⟩
  • Olivier Cappé. Rank-based test statistics for detecting anomalies in network traffic data. Time Dynamic Change Point Models and its Applications Wokshop, Oct 2014, Goettingen, Germany. ⟨hal-02288424⟩
  • Alireza Roodaki, Rémi Bardenet, Olivier Cappé, Balazs Kegl. Detection and estimation of high energy physical particles using Monte Carlo methods. Colloque du GRETSI, Sep 2013, Brest, France. ⟨hal-02287064⟩
  • Olivier Cappé. Learning with the online EM algorithm. Invited talk at the StatLearn'13 workshop, Apr 2013, Bordeaux, France. ⟨hal-02286569⟩
  • Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé. Co-factorisation douce en matrices non-négatives. Application au regroupement multimodal de locuteurs. GRETSI, Sep 2013, Brest, France. ⟨hal-02286798⟩
  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On Bayesian Upper Confidence Bounds for Bandit Problems. International Conference on Artificial Intelligence and Statistics (AISTAT), Apr 2012, La Palma, Iles Canaries, Spain. pp.592-600. ⟨hal-02286440⟩
  • 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, ⟨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, ⟨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. ⟨hal-00487081⟩
  • Erwan Moreau, François Yvon, Olivier Cappé. Robust similarity measures for named entities matching. COLING 2008, Aug 2008, Manchester, United Kingdom. pp.593-600. ⟨hal-00487084⟩
  • 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. ⟨hal-00487082⟩
  • Randal Douc, Olivier Cappé, Eric Moulines. Comparison of Resampling Schemes for Particle Filtering. 2005, pp.64-69. ⟨hal-00005883⟩
  • Fabrice Clérot, Olivier Collin, Olivier Cappé, Éric Moulines. Le modèle "monomaniaque" un modèle statistique simple pour l'analyse exploratoire d'un corpus de textes. Jun 2004. ⟨sic_00001261⟩
  • Eric Grivel, Olivier Cappé, Anthony Ferrari. Le modèle harmonique et son application au rehaussement de signaux de parole. GRETSI, 2001, Toulouse, France. pp. ⟨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. ⟨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. ⟨hal-01105475⟩

Book sections2 documents

  • Vincent Claveau, Olivier Cappé. Les données multimédia. Les Big Data à découvert, CNRS Éditions, pp.1, 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⟩

Other publications1 document

  • Lila Ammour, Olivier Cappé, Thierry Chaventre, Karin Dassas, Marc Dexet, et al.. Je code : Les bonnes pratiques de développement logiciel. 2019. ⟨hal-02083801⟩

Preprints, Working Papers, ...6 documents

  • Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé. A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. 2020. ⟨hal-02883800⟩
  • Yoan Russac, Olivier Cappé, Aurélien Garivier. Algorithms for Non-Stationary Generalized Linear Bandits. 2020. ⟨hal-02514151⟩
  • 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. 2012. ⟨hal-00607410v3⟩
  • Martin Kilbinger, Darren Wraith, Christian Robert, Karim Benabed, Olivier Cappe, et al.. Bayesian model comparison in cosmology with Population Monte Carlo. 2009. ⟨hal-00441161⟩
  • Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappé, Jean-François Cardoso, et al.. Estimation of cosmological parameters using adaptive importance sampling. 2009. ⟨hal-00365944⟩

Reports2 documents

  • Jamal Atif, Olivier Cappé, Akin Kazakçi, Yannick Léo, Laurent Massoulié, et al.. Initiative face au virus Observations sur la mobilité pendant l'épidémie de Covid-19. [Autre] Université PSL. 2020. ⟨hal-02921194⟩
  • 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⟩