Sorted by Year

A slightly expanded list sorted by type of publications is also available in pdf format. Look here for futher information regarding the Inference in HMMs book written with Eric Moulines and Tobias Rydén.

The full text of most recent works is available from arXiv et aussi depuis l'archive HAL.

You may also want to check G Scholar, Lens.org, openalex, dblp or zbMATH (very incomplete coverage for the latter).

Further information regarding recent publications may also be available from my OpenReview account.

Olivier Cappé and Claire Marc. Tout comprendre (ou presque) sur l'intelligence artificielle. CNRS Éditions, 2025.

Last edited 24 déc. 2025

Edwige Cyffers, Muni S. Pydi, Jamal Atif, and Olivier Cappé. Optimal classification under performative distribution shift. In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
Juliette Achddou, Olivier Cappé, and Aurélien Garivier. Stochastic direct search methods for blind resource allocation. Trans. Mach. Learn. Res., 2024.

Last edited 24 déc. 2025

Hien Duy Nguyen, Florence Forbes, Gersende Fort, and Olivier Cappé. An online minorization-maximization algorithm. In ICFS (17th conference of the International Federation of Classification Societies), 2022.

Last edited 24 déc. 2025

Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, and Wouter M Koolen. A/B/n Testing with control in the presence of subpopulations. In Neural Information Processing Systems (NeurIPS), 2021.
Juliette Achddou, Olivier Cappé, and Aurélien Garivier. Fast rate learning in stochastic first price bidding. In Asian Conf. Machine Learning (ACML), 2021.
Dorian Baudry, Yoan Russac, and Olivier Cappé. On limited-memory subsampling strategies for bandits. In Int. Conf. Machine Learning (ICML), 2021.
Louis Filstroff, Olivier Gouvert, Cédric Févotte, and Olivier Cappé. A comparative study of temporal non-negative matrix factorization with Gamma Markov chains. IEEE Transactions on Signal Processing, 2021. (DOI)
Yoan Russac, Louis Faury, Olivier Cappé, and Aurélien Garivier. Self-concordant analysis of generalized linear bandits with forgetting. In Int. Conf. on Artificial Intelligence and Statistics (AISTATS), 2021.
Juliette Achddou, Olivier Cappé, and Aurélien Garivier. Efficient algorithms for stochastic repeated second-price auctions. In Int. Conf. Algorithmic Learning Theory (ALT), 2021.

Last edited 24 déc. 2025

Jamal Atif, Betrand Cabot, Olivier Cappé, Olga Mula, and Rafael Pinot. Regards croisés sur l'épidemie de Covid-19 apportés par les données sanitaires et de géolocalisation (mars à octobre 2020), 2020. Initiative scientifique Face au Virus.
Jamal Atif, Olivier Cappé, Akin Kazakçi, Yannick Léo, Laurent Massoulié, and Olga Mula. Observations sur la mobilité pendant l'épidémie de covid-19, 2020. Initiative scientifique Face au Virus.
Yoan Russac, Olivier Cappé, and Aurélien Garivier. Algorithms for non-stationary generalized linear bandits, 2020. Report.

Last edited 24 déc. 2025

Yoan Russac, Claire Vernade, and Olivier Cappé. Weighted linear bandits for non-stationary environments. In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.
Paul Lagrée, Olivier Cappé, Bogdan Cautis, and Silviu Maniu. Algorithms for online influencer marketing. ACM Trans. Knowledge Discovery from Data (TKDD), 13(1), 2019. (DOI)

Last edited 24 déc. 2025

Paul Lagrée, Olivier Cappé, Bogdan Cautis, and Silviu Maniu. Effective large-scale online influence maximization. In IEEE International Conference on Data Mining (ICDM), New Orleans, USA, November 18–21 2017. (DOI)
Claire Vernade, Olivier Cappé, and Vianney Perchet. Stochastic bandit models for delayed conversions. In Conference on Uncertainty in Artificial Intelligence (UAI), Sydney, Australia, August 11-15 2017.

Last edited 24 déc. 2025

Paul Lagrée, Claire Vernade, and Olivier Cappé. Multiple-play bandits in the position-based model. In Adv. Neural Inf. Process. Syst. (NIPS), 2016.
Emilie Kaufmann, Olivier Cappé, and Aurélien Garivier. On the complexity of best arm identification in multi-armed bandit models. J. Mach. Learn. Res., 17(1):1–42, 2016.

Last edited 24 déc. 2025

Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Homogeneity and change-point detection tests for multivariate data using rank statistics. J. French Statist. Soc. (J-SFdS), 156(4), 2015.
Claire Vernade and Olivier Cappé. Learning from missing data using selection bias in movie recommendation. In IEEE Int. Conf. Data Science Advanced Analytics (DSAA), Paris, October 19–21 2015.
Rémi Bardenet, Olivier Cappé, Gersende Fort, and Balázs Kégl. Adaptive Metropolis with online relabeling. Bernoulli, 21(3):1304–1340, 2015. (DOI)

Last edited 24 déc. 2025

Nicolas Seichepine, Slim Essid, Cédric Févotte, and Olivier Cappé. Soft nonnegative matrix co-factorization. IEEE Trans. Signal Process., 62(2):5940–5949, 2014.
Emilie Kaufmann, Olivier Cappé, and Aurélien Garivier. On the complexity of A/B testing. In Conf. Learning Theory (COLT), Barcelona, Spain, June 2014.
Nicolas Seichepine, Slim Essid, Cédric Févotte, and Olivier Cappé. Piecewise constant nonnegative matrix factorization. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Florence, May 2014.

Last edited 24 déc. 2025

Olivier Cappé, Aurélien Garivier, Odalric-Ambrym Maillard, Rémi Munos, and Gilles Stoltz. Kullback-Leibler upper confidence bounds for optimal sequential allocation. Ann. Statist., 41(3):1516–1541, 2013. (DOI)
Zaid Harchaoui, Francis Bach, Olivier Cappé, and Eric Moulines. Kernel-based methods for hypothesis testing. IEEE Signal Processing Mag., 30:87–97, July 2013. (DOI)
Alireza Roodaki, Rémi Bardenet, Olivier Cappé, and Balázs Kégl. Detection and estimation of high energy physical particles using monte carlo methods. In Colloque du GRETSI, Brest, France, septembre 2013.
Nicolas Seichepine, Slim Essid, Cédric Févotte, and Olivier Cappé. Co-factorisation douce en matrices non-négatives ; application au regroupement multimodal de locuteurs. In Colloque du GRETSI, Brest, France, septembre 2013.
Nicolas Seichepine, Slim Essid, Cédric Févotte, and Olivier Cappé. Soft nonnegative matrix co-factorization with application to multimodal speaker diarization. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Vancouver, May 2013.

Last edited 24 déc. 2025

Olivier Cappé, Aurélien Garivier, and Emilie Kaufmann. py/maBandits: matlab and python packages for multi-armed bandits, June 2012.
Emilie Kaufmann, Olivier Cappé, and Aurélien Garivier. On Bayesian upper confidence bounds for bandit problems. In Proc. AISTATS, JMLR W&CP, volume 22, pages 592–600, La Palma, Canary Islands, April 21–23 2012.
Rémi Bardenet, Olivier Cappé, Gersende Fort, and Balázs Kégl. Adaptive metropolis with online relabeling. In Proc. AISTATS, JMLR W&CP, volume 22, pages 91–99, La Palma, Canary Islands, April 21–23 2012.
David Rohde, Olivier Cappé, and Onur Dikmen. The simulated online EM algorithm for latent factor models. In Brazilian Meeting on Bayesian Statistics, volume 1490, pages 294–303, Amparo-SP, Brazil, March 18–22 2012. AIP Conf. Proc.
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Distributed detection/localization of change-points in high-dimensional network traffic data. Statist. Comput., 22(12):485–496, March 2012. (DOI)

Last edited 24 déc. 2025

Olivier Cappé. Online EM algorithm for hidden Markov models. J. Comput. Graph. Statist., 20(3):728–749, September 2011. (DOI)
Aurélien Garivier and Olivier Cappé. The KL-UCB algorithm for bounded stochastic bandits and beyond. In Conf. Learning Theory (COLT), Budapest, Hungary, July 2011.
Olivier Cappé. Online expectation-maximisation. In K. Mengersen, M. Titterington, and Christian P. Robert, editors, Mixtures: Estimation and Applications. Wiley, 2011.
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Estimation robuste de ruptures multiples dans un signal multivarié. In Colloque du GRETSI, Bordeaux, France, septembre 2011.
Olivier Cappé, Cédric Févotte, and David Rohde. Algorithme EM en ligne simulé pour la factorisation non-négative probabiliste. In Colloque du GRETSI, Bordeaux, France, septembre 2011.
Cédric Févotte, Olivier Cappé, and Ali Taylan Cemgil. Efficient Markov chain Monte Carlo inference in composite models with space alternating data augmentation. In IEEE Workshop on Statistical Signal Processing, Nice, France, June 2011.
David Rohde and Olivier Cappé. Online maximum-likelihood estimation for latent factor models. In IEEE Workshop on Statistical Signal Processing, Nice, France, June 2011.
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Robust retrospective multiple change-point estimation for multivariate data. In IEEE Workshop on Statistical Signal Processing, Nice, France, June 2011.
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Robust changepoint detection based on multivariate rank statistics. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
Hemant Misra, François Yvon, Olivier Cappé, and Joemon M. Jose. Text segmentation: A topic modeling perspective. Information Processing & Management, 47:528–544, 2011.
Martin Kilbinger, Karim Benabed, Olivier Cappé, Jean-François Cardoso, Gersende Fort, Simon Prunet, Christian P. Robert, and Darren Wraith. CosmoPMC: Cosmology population Monte Carlo, 2011. CosmoPMC user's guide, version v1.0.
Sarah Filippi, Olivier Cappé, and Aurélien Garivier. Optimally sensing a single channel without prior information: The tiling algorithm and regret bounds. IEEE J. Sel. Topics Signal Process., 5(1):68–76, 2011. (DOI)

Last edited 24 déc. 2025

Sarah Filippi, Olivier Cappé, Aurélien Garivier, and Csaba Szepesvári. Parametric bandits: The generalized linear case. In Adv. Neural Inf. Process. Syst. (NIPS), December 2010.
Sarah Filippi, Olivier Cappé, and Aurélien Garivier. Optimism in reinforcement learning and Kullback-Leibler divergence. In Allerton Conference on Communication, Control, and Computing, Monticello, US, September 29 – October 1 2010. (DOI)
Olivier Cappé. Discussion of 'Particle Markov chain Monte Carlo methods' by C. Andrieu, A. Doucet and R. Holenstein. J. Royal Statist. Soc. B, 72(3):269–342, 2010.
Sarah Filippi, Olivier Cappé, Aurélien Garivier, and Csaba Szepesvári. Bandits contextuels : apprentissage par renforcement dans les modèles linéaires généralisés. In 5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA), 2010.
Thomas Lavergne, Olivier Cappé, and François Yvon. Practical very large scale CRFs. In Proc. 48th Annual Meeting Association for Computational Linguistics (ACL), pages 504–513, Uppsala, Sweden, July 2010.
Martin Kilbinger, Darren Wraith, Christian P. Robert, Karim Benabed, Olivier Cappé, Jean-François Cardoso, Gersende Fort, Simon Prunet, and François Bouchet. Bayesian model comparison in cosmology with population Monte Carlo. MNRAS, 45:2381–2390, 2010. (DOI)
Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, and François Yvon. Efficient learning of sparse conditional random fields for supervised sequence labelling. IEEE J. Sel. Topics Signal Process., 4(6):953–964, December 2010. (DOI)

Last edited 24 déc. 2025

Thomas Lavergne, Olivier Cappé, and François Yvon. Wapiti - a simple and fast discriminative sequence labelling toolkit, 2009.
Nataliya Sokolovska, Olivier Cappé, and François Yvon. Sélection de caractéristiques pour les champs aléatoires conditionnels par pénalisation L1. Traitement Automatique des langues, 50(3):139–171, 2009. Numéro spécial, Apprentissage automatique pour le TAL.
Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappé, Jean-François Cardoso, Gersende Fort, Simon Prunet, and Christian P. Robert. Estimation of cosmological parameters using adaptive importance sampling. Phys. Rev. D, 80(2), 2009. (DOI)
Hemant Misra, Joemon M. Jose, François Yvon, and Olivier Cappé. Text segmentation via topic modeling: An analytical study. In ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China, November 2–6 2009.
Olivier Cappé. Version récursive de l'algorithme EM pour l'estimation en ligne des paramètres de modèles de Markov cachés. In Colloque du GRETSI, Dijon, France, septembre 2009.
Alexandre Lung-Yut-Fong, Olivier Cappé, Céline Lévy-Leduc, and François Roueff. Détection et localisation décentralisées d'anomalies dans le trafic internet. In Colloque du GRETSI, Dijon, France, septembre 2009.
Olivier Cappé. Online sequential Monte Carlo EM algorithm. In IEEE Workshop Statist. Signal Process. (SSP), Cardiff, Wales, UK, September 2009.
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, and Olivier Cappé. Distributed detection/localization of network anomalies using rank tests. In IEEE Workshop Statist. Signal Process. (SSP), Cardiff, UK, September 2009.
Olivier Cappé and Eric Moulines. On-line expectation-maximization algorithm for latent data models. J. Royal Statist. Soc. B, 71(3):593–613, 2009. (DOI)
Zaid Harchaoui, Félicien Vallet, Alexandre Lung-Yut-Fong, and Olivier Cappé. A regularized kernel-based approach to unsupervised audio segmentation. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), pages 1665–1668, Taiwan, April 2009.

Last edited 24 déc. 2025

Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, and Christian P. Robert. Adaptive importance sampling in general mixture classes. Statistics and Computing, 18(4):447–459, 2008. (DOI)
Hemant Misra, Olivier Cappé, and François Yvon. Using LDA to detect semantically incoherent documents. In Conf. Computational Natural Language Learning (CoNLL), Manchester, UK, 2008.
Sarah Filippi, Olivier Cappé, Fabrice Clérot, and Eric Moulines. A near optimal policy for channel allocation in cognitive radio. In Recent Advances in Reinforcement Learning, Lectures Notes in Computer Science, volume 5323, pages 69–81, Lille, France, June 2008.
Erwan Moreau, François Yvon, and Olivier Cappé. Robust similarity measures for named entities matching. In Int. Conf. Computational Linguistics (COLING), Manchester, UK, 2008.
Erwan Moreau, François Yvon, and Olivier Cappé. Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé. In Conférence sur le Traitement Automatique des Langues (TALN), Avignon, France, 2008.
Erwan Moreau, François Yvon, and Olivier Cappé. Semi-automatic labeling of coreferent named entities: an experimental study. In Proceedings of the LREC 2008 workshop W15: 'esources and Evaluation for Identity Matching, Entity Resolution and Entity Management, pages 1–7, Marrakech, Maroc, 2008.
Nataliya Sokolovska, Olivier Cappé, and François Yvon. The asymptotics of semi-supervised learning in discriminative probabilistic models. In A. McCallum and S. Roweis, editors, Int. Conf. Machine Learning (ICML), pages 984–991. Omnipress, 2008.
Jimmy Olsson, Olivier Cappé, Randal Douc, and Eric Moulines. Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models. Bernoulli, 14(1):155–179, 2008. (DOI)

Last edited 24 déc. 2025

Olivier Cappé, Simon G. Godsill, and Eric Moulines. An overview of existing methods and recent advances in sequential Monte Carlo. IEEE Proceedings, 95(5):899–924, 2007. (DOI)
Loïs Rigouste, Olivier Cappé, and François Yvon. Inference and evaluation of the multinomial mixture model for text clustering. Information Processing & Management, 43(5):1260–1280, 2007. (DOI)
Loïs Rigouste, Olivier Cappé, François Yvon, and Fabrice Clérot. Modèles multi-thématiques markoviens pour la segmentation de textes. In V. Prince, Y. Kodratoff, J. Azé, and M. Roche, editors, RNTI E10 : Revue des nouvelles technologies de l'information — Défi Fouille de Textes. 2007.
Jimmy Olsson, Olivier Cappé, Randal Douc, and Eric Moulines. On the use of sequential Monte Carlo methods for approximating smoothing functionals, with application to fixed parameter estimation. In ESAIM: Proc., volume 19, pages 6–11, 2007. (DOI)
Zaid Harchaoui and Olivier Cappé. Retrospective change-point estimation with kernels. In IEEE Workshop Statist. Signal Process. (SSP), pages 768–772, 2007. (DOI)
Olivier Cappé and Christian P. Robert. Une approche Monte Carlo adaptative pour l'approximation de lois a posteriori avec application à l'inférence de paramètres cosmologiques. In Colloque du GRETSI, Troyes, France, septembre 2007.

Last edited 24 déc. 2025

Olivier Cappé, Maurice Charbit, and Eric Moulines. Recursive EM algorithm with applications to DOA estimation. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Toulouse, France, May 2006.
Olivier Cappé. Méthodes de Monte Carlo pour l'inférence dans les modèles à données latentes. Mémoire d'Habilitation à diriger des recherches, Université de Marne la Vallée, décembre 2006.
Loïs Rigouste, Olivier Cappé, and François Yvon. Quelques observations sur le modèle LDA. In Journées Internationales d'Analyse statistique des données textuelles, pages 819–830, Besançon, France, avril 2006.

Last edited 24 déc. 2025

Randal Douc, Olivier Cappé, and Eric Moulines. Comparison of resampling schemes for particle filtering. In 4th International Symposium on Image and Signal Processing and Analysis (ISPA), Zagreb, Croatia, September 2005.
Olivier Cappé and Eric Moulines. On the use of particle filtering for maximum likelihood parameter estimation. In European Signal Processing Conference (EUSIPCO), Antalya, Turkey, September 2005.
Olivier Cappé and Eric Moulines. Recursive computation of the score and observed information matrix in hidden Markov models. In IEEE Workshop Statist. Signal Process. (SSP), Bordeaux, France, July 2005.
Loïs Rigouste, Olivier Cappé, and François Yvon. Inference for Probabilistic Unsupervised Text Clustering. In IEEE Workshop Statist. Signal Process. (SSP), Bordeaux, France, July 2005.
Olivier Cappé, Eric Moulines, and Tobias Rydén. Inference in Hidden Markov Models. Springer, 2005.
Loïs Rigouste, Olivier Cappé, and François Yvon. Evaluation of a probabilistic method for unsupervised text clustering. In International Symposium on Applied Stochastic Models and Data Analysis, Brest, France, May 2005.
Olivier Cappé and Eric Moulines. A propos de l'utilisation des méthodes de Monte Carlo séquentielles pour l'estimation de paramètres dans les modèles de Markov cachés. In Colloque du GRETSI, Louvain, Belgique, septembre 2005.
Loïs Rigouste, Olivier Cappé, and François Yvon. Modèle de mélange multi-thématique pour la Fouille de Textes. In Traitement Automatique des Langues Naturelles — Atelier DÉfi Fouille de Textes, Dourdan, France, juin 2005.

Last edited 24 déc. 2025

Olivier Cappé, Aranud Guillin, Jean-Michel Marin, and Christian P. Robert. Population Monte Carlo. J. Comput. Graph. Statist., 13(4):907–929, 2004. (DOI)
Fabrice Clérot, Françoise Fessant, Olivier Collin, Olivier Cappé, and Eric Moulines. A simple mixture model for unsupervised text categorisation. In Fifth International Conference on Data Mining, Malaga, Spain, September 15–17 2004.
Fabrice Clérot, Olivier Collin, Olivier Cappé, and Eric Moulines. Le modèle "monomaniaque": un modèle statistique simple pour l'analyse exploratoire d'un corpus de textes. In Colloque international sur la Fouille de Texte (CIFT), La Rochelle, 22–24 juin 2004.

Last edited 24 déc. 2025

Olivier Cappé, Christian P. Robert, and Tobias Rydén. Reversible jump, birth-and-death and more general continuous time Markov chain Monte Carlo samplers. J. Royal Statist. Soc. B, 65(3):679–700, 2003. (DOI)
Olivier Cappé, Christian P. Robert, and Tobias Rydén. CT/RJ-Mix: Transdimensional MCMC for Gaussian mixtures (available as C source code), December 2003.
Guillaume Picard and Olivier Cappé. Blind identification of Hammerstein nonlinear distortion models. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), pages 17–20, New Paltz, US, October 19–22 2003.
Olivier Cappé and François Roueff. Evaluation numérique de l'information de Fisher pour des observations irrégulières de l'état d'une file d'attente. In Colloque du GRETSI, Paris, France, septembre 2003.
Gaël Richard and Olivier Cappé. Synthèse de la parole à partir du texte. In Traité Informatique, H 7 288. Techniques de l'ingénieur, 2003.

Last edited 24 déc. 2025

Randal Douc, Olivier Cappé, Eric Moulines, and Christian P. Robert. On the convergence of the Monte Carlo maximum likelihood method for latent variable models. Scandinavian J. Statist., 29(4), 2002.
Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina Petropulu, and Xueshi Yang. Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Processing Mag., 19(3):14–27, May 2002. (DOI)
Olivier Cappé. A Bayesian approach for simultaneous segmentation and classification of count data. IEEE Trans. Signal Process., 50(2):400–410, February 2002. (DOI)

Last edited 24 déc. 2025

Olivier Cappé. Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation. Monte Carlo Methods and Applications, 7(1–2):81–92, 2001. (DOI)
Olivier Cappé and Christian P. Robert. Ten years, and still running! In A. E. Raftery, M. A. Tanner, and M. T. Wells, editors, Statistics in the 21st Century, pages 302–311. Chapman & Hall/CRC, 2001.
Marine Campedel-Oudot, Olivier Cappé, and Eric Moulines. Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach. IEEE Trans. Speech Audio Process., 9(5):469–481, July 2001. (DOI)
Eric Grivel, André Ferrari, and Olivier Cappé. Le modèle harmonique stochastique et son application au rehaussement de signaux de parole. In Colloque du GRETSI, Toulouse, France, septembre 2001.
Olivier Cappé. Ten years of HMMs (An HMM bibliography), March 2001.
Olivier Cappé. H2M: A set of MATLAB/OCTAVE functions for the EM estimation of mixtures and hidden Markov models, August 2001. version 2.0.
Marine Campedel-Oudot, Olivier Cappé, and Eric Moulines. env: MATLAB functions for spectral envelope estimation in sinusoidal models, May 2001.

Last edited 24 déc. 2025

Olivier Cappé and Christian P. Robert. Ten years, and still running!. J. Amer. Statist. Assoc., 95(452):1282–1285, December 2000. Vignettes for the Year 2000 Series.
Vincent Buchoux, Olivier Cappé, Eric Moulines, and Alexei Gorokhov. On the performance of semi-blind subspace-based channel estimation. IEEE Trans. Signal Process., 48(6):1750–1759, 2000.
Vincent Buchoux, Olivier Cappé, and Eric Moulines. Turbo multiuser detection for coded ds-cdma systems: A gibbs sampling approach. In Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 29 – November 1 2000.
Stéphanie Dubost and Olivier Cappé. Enhancement of speech based on non-parametric estimation of a time varying harmonic representation. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), June 5–9 2000.

Last edited 24 déc. 2025

Olivier Cappé, Aranud Doucet, Marc Lavielle, and Eric Moulines. Simulation-based methods for blind maximum-likelihood filter identification. Signal Processing, 73(1–2):3–25, 1999.
Karim Abed-Meraim, Vincent Buchoux, Olivier Cappé, and Eric Moulines. Iterative turbo decoding using gibbs sampling. In International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 7–10 1999.
Stéphanie Dubost and Olivier Cappé. Analysis and enhancement of locally harmonic signals using adaptive multi-kernel methods. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), October 1999.
Vincent Buchoux, Eric Moulines, Olivier Cappé, and Alexei Gorokhov. Semi-blind subspace techniques for digital communication systems. In Proc. IEEE SPAWC Workshop, 1999.
Stéphanie Dubost and Olivier Cappé. Estimation adaptative de signaux localement harmoniques. In Colloque du GRETSI, Vannes, France, septembre 1999.
Vincent Buchoux, Eric Moulines, Olivier Cappé, and Alexei Gorokhov. Estimation semi-autodidacte par méthode sous-espace pour systèmes de réception multicapteurs. In Colloque du GRETSI, Vannes, France, septembre 1999.

Last edited 24 déc. 2025

Vincent Buchoux, Lisa Perros-Meilhac, Olivier Cappé, and Eric Moulines. Blind and semi-blind equalization: methods and algorithms. Annales des Télécommunications, 53(11–12):449–465, 1998.
Yannis Stylianou, Olivier Cappé, and Eric Moulines. Continuous probabilistic transform for voice conversion. IEEE Trans. Speech Audio Process., 6(2):131–142, March 1998.
Olivier Cappé, Chafic Mokbel, Denis Jouvet, and Eric Moulines. An algorithm for maximum likelihood estimation of hidden Markov models with unknown state-tying. IEEE Trans. Speech Audio Process., 6(1):61–70, January 1998.
Simon Godsill, Peter Rayner, and Olivier Cappé. Digital audio restoration. In M. Kahrs and K. Brandenburg, editors, Applications of Signal Processing to Audio and Acoustics. Kluwer Academic Publishers, 1998.
Gersende Fort, Olivier Cappé, Eric Moulines, and Philippe Soulier. Optimization via simulation for maximum likelihood estimation in incomplete data models. In IEEE Workshop Statist. Signal Array Process., pages 80–83, 1998.
Olivier Cappé, Randal Douc, Eric Moulines, and Christian P. Robert. Bayesian analysis of overdispersed count data with application to teletraffic monitoring. In R. Payne and P. Green, editors, Proceedings in Computational Statistics (COMPSTAT), pages 215–220. Physica-Verlag, 1998.
Olivier Cappé, Vincent Buchoux, and Eric Moulines. Quasi-Newton method for maximum likelihood estimation of hidden Markov models. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), pages IV–2265–IV–2268, Seattle, US, May 1998.
Gilles Fay, Eric Moulines, Olivier Cappé, and Frédéric Bimbot. Polynomial quasi-harmonic models for speech analysis and synthesis. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), pages II–865–II–868, Seattle, US, May 1998.
Yannis Stylianou and Olivier Cappé. A system for voice conversion based on probabilistic classification and a harmonic plus noise model. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), pages I–281–I--284, Seattle, US, May 1998.
Olivier Cappé. dcv: A set of matlab functions for blind deconvolution of discrete signals, November 1998.

Last edited 24 déc. 2025

Olivier Cappé, Marine Oudot, and Eric Moulines. Spectral envelope estimation using a penalized likelihood criterion. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), Mohonk, October 1997.
Marine Oudot, Olivier Cappé, and Eric Moulines. Robust estimation of the spectral envelope for ``harmonics + noise'' models. In IEEE Workshop on speech coding, Pocono Manor, September 1997.
Vincent Buchoux, Olivier Cappé, Eric Moulines, and Sylvie Mayrargue. On the feasability of the blind and the semi-blind techniques in digital communication systems. In COST 254 Workshop on Emerging Techniques for Communication Terminals, Toulouse, July 1997.
Marine Oudot, Olivier Cappé, and Eric Moulines. Estimation robuste de l'enveloppe spectrale d'un signal harmonique bruité. In Colloque du GRETSI, Grenoble, France, septembre 1997.
Maurice Charbit and Olivier Cappé. Restauration d'enregistrements sonores anciens. REE Revue de l'Electricité et de l'Electronique, (6):40–43, juin 1997.

Last edited 24 déc. 2025

Olivier Cappé and Eric Moulines. Regularization techniques for discrete cepstrum estimation. IEEE Signal Process. Lett., 3(4):100–102, April 1996.
Eric Moulines and Olivier Cappé. Synthèse de la parole à partir du texte. In Traité Informatique, H 960. Techniques de l'ingénieur, 1996.

Last edited 24 déc. 2025

Olivier Cappé and Jean Laroche. Evaluation of short-time spectral attenuation techniques for the restoration of musical recordings. IEEE Trans. Speech Audio Process., 3(1):84–93, January 1995. (DOI)
Olivier Cappé, Jean Laroche, and Eric Moulines. Regularized estimation of cepstrum envelope from discrete frequency points. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), October 1995.
Yannis Stylianou, Olivier Cappé, and Eric Moulines. Statistical methods for voice quality transformation. In EUROSPEECH, Madrid, September 1995.
Olivier Cappé. Etat actuel de la recherche en reconnaissance du locuteur et des applications en criminalistique. Rapport technique, Ecole Nationale Supérieure des Télécommunications, janvier 1995.

Last edited 24 déc. 2025

Olivier Cappé. Elimination of the musical noise phenomenon with the ephraim and malah noise suppressor. IEEE Trans. Speech Audio Process., 2(2):345–349, April 1994. (DOI)
Olivier Cappé, Jean Laroche, and Antoine Chaigne. Restauration de six opéras, partenariat Fondation France Télécom — EMI. Six coffrets de CD EMI Classics : n. 6243-5-65 256, 260, 263, 266, 269 et 318, novembre 1994.

Last edited 24 déc. 2025

Olivier Cappé. Enhancement of musical signals degraded by background noise, using long-term behavior of the short-term spectral components. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), pages I–217–I--220, Minneapolis, US, April 1993.
Olivier Cappé. Techniques de réduction de bruit pour la restauration d'enregistrements musicaux. Thèse, Ecole Nationale Supérieure des Télécommunications, septembre 1993.
Olivier Cappé. Techniques de restauration d'enregistrements historiques de flamenco. In XXIème Congrès d'Art Flamenco, pages 245–248, Paris, France, septembre 1993.

Last edited 24 déc. 2025

Olivier Cappé. On the use of variable length windows in the restoration of audio recordings. In Deuxième Congrès Français d'Acoustique, Colloque C1, supplément au Journal de Physique III, Volume 2, pages 101–104, Arcachon, France, April 1992. (DOI)

Last edited 24 déc. 2025

Olivier Cappé and Antoine Chaigne. Perceptual effects of noise disturbances on phase spectrum in STFT analysis/synthesis procedures. application to restoration processes. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), October 1991.

Last edited 24 déc. 2025