Olivier Cappé

Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier. Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. AISTATS 2021 - International Conference on Artificial Intelligence and Statistics, Apr 2021, San Diego / Virtual, United States. ⟨hal-02984117v2⟩

Juliette Achddou, Olivier Cappé, Aurélien Garivier. Efficient Algorithms for Stochastic Repeated Second-price Auctions. ALT 2021, Mar 2021, Paris, France. ⟨hal-02997579v2⟩

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⟩

Claire Vernade, Olivier Cappé, Vianney Perchet. Stochastic Bandit Models for Delayed Conversions. Conference on Uncertainty in Artificial Intelligence, Aug 2017, Sydney, Australia. ⟨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. ⟨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⟩

Olivier Cappé, Claire Vernade. Modèle de distraction pour la sélection séquentielle de contenu. Journées de Statistiques, Jun 2016, Montpellier, France. ⟨hal-02287453⟩

Claire Vernade, Olivier Cappé. Learning From Missing Data Using Selection Bias in Movie Recommendation. IEEE Int. Conf. Data Science Advanced Analytics (DSAA), Oct 2015, Paris, France. ⟨hal-01207114⟩

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⟩

N. Seichepine, Slim Essid, C. Fevotte, O. Cappe. Piecewise constant nonnegative matrix factorization. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, Florence, France. pp.6721-6725, ⟨10.1109/ICASSP.2014.6854901⟩. ⟨hal-02943536⟩

Olivier Cappé. Learning with the online EM algorithm. Invited talk at the StatLearn'13 workshop, Apr 2013, Bordeaux, France. ⟨hal-02286569⟩

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⟩

N. Seichepine, Slim Essid, C. Fevotte, O. Cappe. Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013, Vancouver, France. pp.3537-3541, ⟨10.1109/ICASSP.2013.6638316⟩. ⟨hal-02943543⟩

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⟩

R. Bardenet, O. CappÉ, Gersende Fort, Balázs Kégl. Adaptive Metropolis with online relabeling. Fifteenth International Conference on Artificial Intelligence and Statistics, Apr 2012, La Palma, Spain. pp.91-99. ⟨in2p3-00698479⟩

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. 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⟩

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. Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé. TALN 2008, Jun 2008, Avignon, France. pp.Online Proceedings. ⟨hal-00487081⟩

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⟩

Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé. A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Factorization. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/TSP.2021.3060000⟩. ⟨hal-02883800v3⟩

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⟩

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⟩

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⟩

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⟩

A. Lung-Yut-Fong, C. Lévy-Leduc, O. CappÉ. Distributed detection/localization of change-points in highdimensional network traffic data. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (485-496). ⟨hal-01568799⟩

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⟩

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⟩

Hemant Misra, François Yvon, Jaemon Jose, Olivier Cappé. Text segmentation: a topic modeling perspective. Information Processing and Management, Elsevier, 2011, 47, pp.528-544. ⟨10.1016/j.ipm.2010.11.008⟩. ⟨hal-01960703⟩

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⟩

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⟩

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, 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⟩

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, [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⟩

O. CappÉ. ON THE USE OF VARIABLE LENGTH WINDOWS IN THE RESTORATION OF AUDIO RECORDINGS. Journal de Physique IV Proceedings, EDP Sciences, 1992, 02 (C1), pp.C1-101-C1-104. ⟨10.1051/jp4:1992118⟩. ⟨jpa-00251141⟩

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⟩

Jamal Atif, Bertrand Cabot, Olivier Cappé, Olga Mula, Rafael Pinot. Initiative face au virus. Regards croisés sur l'épidemie de Covid-19 apportés par les données sanitaires et de géolocalisation (mars à octobre 2020). [Rapport de recherche] Université PSL; Inria; CNRS. 2020. ⟨hal-03084832⟩

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⟩

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

Yoan Russac, Olivier Cappé, Aurélien Garivier. Algorithms for Non-Stationary Generalized Linear Bandits. 2020. ⟨hal-02514151⟩

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⟩