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Publications

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

 
Preprints
1
S. Filippi, O. Cappé, and A. Garivier. Optimism in Reinforcement Learning Based and Kullback-Leibler Divergence. Preprint.
2
A. Lung-Yut-Fong, C. Lévy-Leduc, and O. Cappé. Distributed detection/localization of change-points in high-dimensional network traffic data. Preprint.
3
O. Cappé. Online EM Algorithm for Hidden Markov Models. Preprint.
 
2010
4
O. 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.
5
S. Filippi, O.Cappé, A. Garivier, and C. Szepesvari. 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.
6
T. Lavergne, O. Cappé, and F. Yvon. Practical Very Large Scale CRFs. In Proc. 48th Annual Meeting Association for Computational Linguistics (ACL), pages 504-513, Uppsala, Sweden, July 2010.
7
M. Kilbinger, D. Wraith, C. P. Robert, K. Benabed, O. Cappé, J-F. Cardoso, G. Fort, S. Prunet, and F. R. Bouchet. Bayesian model comparison in cosmology with Population Monte Carlo. MNRAS, 45:2381-2390, 2010.
8
S. Filippi, O. Cappé, and A. Garivier. Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. To appear in IEEE J. Sel. Topics Signal Process., February 2011.
9
N. Sokolovska, T. Lavergne, O. Cappé, and F. Yvon. Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling. To appear in IEEE J. Sel. Topics Signal Process., December 2010.
10
N. Sokolovska, O. Cappé, and F. Yvon. Sélection de caractéristiques pour les champs aléatoires conditionnels par pénalisation L1. Traitement Automatique des langues, 2010. Numéro spécial, Apprentissage automatique pour le TAL, à paraître.
 
2009
11
D. Wraith, M. Kilbinger, K. Benabed, O. Cappé, J-F. Cardoso, G. Fort, S. Prunet, and C. P. Robert. Estimation of cosmological parameters using adaptive importance sampling. Phys. Rev. D, 80(2), 2009.
12
H. Misra, J. M. Jose, F. Yvon, and O. 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.
13
O. 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.
14
A. Lung-Yut-Fong, O. Cappé, C. Lévy-Leduc, and F. Roueff. Détection et localisation décentralisées d'anomalies dans le trafic internet. In Colloque du GRETSI, Dijon, France, septembre 2009.
15
O. Cappé. Online sequential Monte Carlo EM algorithm. In IEEE Workshop Statist. Signal Process. (SSP), Cardiff, Wales, UK, September 2009.
16
A. Lung-Yut-Fong, C. Lévy-Leduc, and O. Cappé. Distributed detection/localization of network anomalies using rank tests. In IEEE Workshop Statist. Signal Process. (SSP), Cardiff, UK, September 2009.
17
O. Cappé and E. Moulines. On-line Expectation-Maximization Algorithm for Latent Data Models. J. Royal Statist. Soc. B, 71(3):593-613, 2009.
18
Z. Harchaoui, F. Vallet, A. Lung-Yut-Fong, and O. 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.
 
2008
19
O. Cappé, R. Douc, A. Guillin, J-M. Marin, and C. P. Robert. Adaptive Importance Sampling in General Mixture Classes. Statistics and Computing, 18(4):447-459, 2008.
20
H. Misra, O. Cappé, and F. Yvon. Using LDA to detect semantically incoherent documents. In Conf. Computational Natural Language Learning (CoNLL), Manchester, UK, 2008.
21
S. Filippi, O. Cappé, F. Clérot, and E. 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, jun 2008.
22
E. Moreau, F. Yvon, and O. Cappé. Robust Similarity Measures for Named Entities Matching. In Int. Conf. Computational Linguistics (COLING), Manchester, UK, 2008.
23
E. Moreau, F. Yvon, and O. 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.
24
N. Sokolovska, O. Cappé, and F. 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.
25
J. Olsson, O. Cappé, R. Douc, and E. Moulines. Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models. Bernoulli, 14(1):155-179, 2008.
 
2007
26
O. Cappé, S. J. Godsill, and E. Moulines. An overview of existing methods and recent advances in sequential Monte Carlo. IEEE Proceedings, 95(5):899-924, 2007.
27
L. Rigouste, O. Cappé, and F. Yvon. Inference and Evaluation of the Multinomial Mixture Model for Text Clustering. Information Processing & Management, 43(5):1260-1280, 2007.
28
L. Rigouste, O. Cappé, F. Yvon, and F. 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.
29
J. Olsson, O. Cappé, R. Douc, and E. 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.
30
Z. Harchaoui and O. Cappé. Retrospective Change-point Estimation with Kernels. In IEEE Workshop Statist. Signal Process. (SSP), pages 768-772, 2007.
31
O. Cappé and C. 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.
 
2006
32
O. Cappé, M. Charbit, and E. Moulines. Recursive EM Algorithm With Applications to DOA Estimation. In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Toulouse, France, may 2006.
33
O. 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.
34
L. Rigouste, O. Cappé, and F. Yvon. Quelques observations sur le Modèle LDA. In Journées Internationales d'Analyse statistique des données textuelles, pages 819-830, Besançon, France, avril 2006.
 
2005
35
R. Douc, O. Cappé, and E. Moulines. Comparison of Resampling Schemes for Particle Filtering. In 4th International Symposium on Image and Signal Processing and Analysis (ISPA), Zagreb, Croatia, September 2005.
36
O. Cappé and E. Moulines. On the Use of Particle Filtering for Maximum Likelihood Parameter Estimation. In European Signal Processing Conference (EUSIPCO), Antalya, Turkey, September 2005.
37
O. Cappé and E. 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.
38
L. Rigouste, O. Cappé, and F. Yvon. Inference for Probabilistic Unsupervised Text Clustering. In IEEE Workshop Statist. Signal Process. (SSP), Bordeaux, France, July 2005.
39
O. Cappé, E. Moulines, and T. Rydén. Inference in Hidden Markov Models. Springer, 2005.
40
L. Rigouste, O. Cappé, and F. Yvon. Evaluation of a Probabilistic Method for Unsupervised Text Clustering. In International Symposium on Applied Stochastic Models and Data Analysis, Brest, France, May 2005.
41
O. Cappé and E. 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.
42
L. Rigouste, O. Cappé, and F. 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.
 
2004
43
O. Cappé, A. Guillin, J-M. Marin, and C. P. Robert. Population Monte Carlo. J. Comput. Graph. Statist., 13(4):907-929, 2004.
44
F. Clérot, F. Fessant, O. Collin, O. Cappé, and E. Moulines. A simple mixture model for unsupervised text categorisation. In Fifth International Conference on Data Mining, Malaga, Spain, September 15-17 2004.
45
F. Clérot, O. Collin, O. Cappé, and E. 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.
46
G. Richard and O. Cappé. Synthèse de la parole à partir du texte. In Traité Informatique, H 7 288. Techniques de l'ingénieur, 2004.
 
2003
47
O. Cappé, C. Robert, and T. 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.
48
O. Cappé, C. Robert, and T. Rydén. CT/RJ-Mix: Transdimensional MCMC for Gaussian mixtures (available as C source code), December 2003.
49
G. Picard and O. Cappé. Blind identification of Hammerstein nonlinear distortion models. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), pages 17-20, New Paltz, New York, October 19-22 2003.
50
O. Cappé and F. 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.
 
2002
51
R. Douc, O. Cappé, E. Moulines, and C. P. Robert. On the Convergence of the Monte Carlo Maximum Likelihood Method for Latent Variable Models. Scandinavian J. Statist., 29(4), 2002.
52
O. Cappé, E. Moulines, J-C. Pesquet, A. Petropulu, and X. Yang. Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Processing Mag., 19(3):14-27, May 2002.
53
O. Cappé. A Bayesian Approach for Simultaneous Segmentation and Classification of Count Data. IEEE Trans. Signal Process., 50(2):400-410, February 2002.
 
2001
54
O. 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.
55
O. Cappé and C. 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.
56
M. Campedel-Oudot, O. Cappé, and E. 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.
57
E. Grivel, A. Ferrari, and O. Cappé. Le modèle harmonique stochastique et son application au rehaussement de signaux de parole. In Colloque du GRETSI, Toulouse, France, septembre 2001.
58
O. Cappé. Ten years of HMMs (An HMM bibliography), March 2001.
59
O. Cappé. H2M : A set of MATLAB/OCTAVE functions for the EM estimation of mixtures and hidden Markov models, August 2001. version 2.0.
60
M. Campedel-Oudot, O. Cappé, and E. Moulines. env: MATLAB functions for spectral envelope estimation in sinusoidal models, May 2001.
 
2000
61
O. Cappé and C. P. Robert. Ten Years, and Still Running!. J. Amer. Statist. Assoc., 95(452):1282-1285, December 2000. Vignettes for the Year 2000 Series.
62
V. Buchoux, O. Cappé, E. Moulines, and A. Gorokhov. On the Performance of Semi-Blind Subspace-Based Channel Estimation. IEEE Trans. Signal Process., 48(6):1750-1759, 2000.
63
V. Buchoux, O. Cappé, and E. 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.
64
S. Dubost and O. 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.
 
1999
65
O. Cappé, A. Doucet, M. Lavielle, and E. Moulines. Simulation-Based Methods for Blind Maximum-Likelihood Filter Identification. Signal Processing, 73(1-2):3-25, 1999.
66
K. Abed-Meraim, V. Buchoux, O. Cappé, and E. Moulines. Iterative turbo decoding using gibbs sampling. In International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 7-10 1999.
67
S. Dubost and O. Cappé. Analysis and enhancement of locally harmonic signals using adaptive multi-kernel methods. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), October 1999.
68
V. Buchoux, E. Moulines, O. Cappé, and A. Gorokhov. Semi-blind subspace techniques for digital communication systems. In Proc. IEEE SPAWC Workshop, 1999.
69
S. Dubost and O. Cappé. Estimation adaptative de signaux localement harmoniques. In Colloque du GRETSI, Vannes, France, septembre 1999.
70
V. Buchoux, E. Moulines, O. Cappé, and A. Gorokhov. Estimation semi-autodidacte par méthode sous-espace pour systèmes de réception multicapteurs. In Colloque du GRETSI, Vannes, France, septembre 1999.
 
1998
71
V. Buchoux, L. Perros-Meilhac, O. Cappé, and E. Moulines. Blind and semi-blind equalization: methods and algorithms. Annales des Télécommunications, 53(11-12):449-465, 1998.
72
Y. Stylianou, O. Cappé, and E. Moulines. Continuous Probabilistic Transform for Voice Conversion. IEEE Trans. Speech Audio Process., 6(2):131-142, March 1998.
73
O. Cappé, C. Mokbel, D. Jouvet, and E. 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.
74
S. Godsill, P. Rayner, and O. Cappé. Digital audio restoration. In M. Kahrs and K. Brandenburg, editors, Applications of Signal Processing to Audio and Acoustics. Kluwer Academic Publishers, 1998.
75
G. Fort, O. Cappé, E. Moulines, and P. Soulier. Optimization via simulation for maximum likelihood estimation in incomplete data models. In IEEE Workshop Statist. Signal Array Process., pages 80-83, 1998.
76
O. Cappé, R. Douc, E. Moulines, and C. 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.
77
O. Cappé, V. Buchoux, and E. 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, May 1998.
78
G. Fay, E. Moulines, O. Cappé, and F. 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, May 1998.
79
Y. Stylianou and O. 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, May 1998.
80
O. Cappé. dcv : A set of MATLAB functions for blind deconvolution of discrete signals, November 1998.
 
1997
81
O. Cappé, M. Oudot, and E. Moulines. Spectral Envelope Estimation using a Penalized Likelihood Criterion. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), Mohonk, October 1997.
82
M. Oudot, O. Cappé, and E. Moulines. Robust estimation of the spectral envelope for ``harmonics + noise'' models. In IEEE Workshop on speech coding, Pocono Manor, September 1997.
83
V. Buchoux, O. Cappé, E. Moulines, and S. 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.
84
M. Oudot, O. Cappé, and E. Moulines. Estimation robuste de l'enveloppe spectrale d'un signal harmonique bruité. In Colloque du GRETSI, Grenoble, France, septembre 1997.
85
M. Charbit and O. Cappé. Restauration d'enregistrements sonores anciens. REE Revue de l'Electricité et de l'Electronique, (6):40-43, juin 1997.
 
1996
86
O. Cappé and E. Moulines. Regularization techniques for discrete cepstrum estimation. IEEE Signal Process. Lett., 3(4):100-102, April 1996.
87
E. Moulines and O. Cappé. Synthèse de la parole à partir du texte. In Traité Informatique, H 960. Techniques de l'ingénieur, 1996.
 
1995
88
O. Cappé and J. 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.
89
O. Cappé, J. Laroche, and E. Moulines. Regularized Estimation of Cepstrum Envelope from Discrete Frequency Points. In IEEE Workshop App. Signal Process. Audio Acoust. (WASPA), October 1995.
90
Y. Stylianou, O. Cappé, and E. Moulines. Statistical methods for voice quality transformation. In EUROSPEECH, Madrid, September 1995.
91
O. Cappé. Etat actuel de la recherche en reconnaissance du locuteur et des applications en criminalistique. Rapport technique, Ecole Nationale Supérieure des Télécommunications, janvier 1995.
 
1994
92
O. 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.
93
O. Cappé, J. Laroche, and A. 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.
 
1993
94
O. 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, April 1993.
95
O. Cappé. Techniques de réduction de bruit pour la restauration d'enregistrements musicaux. Thèse, Ecole Nationale Supérieure des Télécommunications, septembre 1993.
96
O. Cappé. Techniques de restauration d'enregistrements historiques de flamenco. In XXIème Congrès d'Art Flamenco, pages 245-248, Paris, France, septembre 1993.
 
1992
97
O. 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.
 
1991
98
O. Cappé and A. 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.

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