Olivier Cappé

According to our database, Olivier Cappé authored at least 73 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

CoRR, 2022

2021

A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization.

Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé

IEEE Trans. Signal Process., 2021

A/B/n Testing with Control in the Presence of Subpopulations.

Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Limited-Memory Subsampling Strategies for Bandits.

Dorian Baudry, Yoan Russac, Olivier Cappé

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Algorithms for Stochastic Repeated Second-price Auctions.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

Proceedings of the Algorithmic Learning Theory, 2021

Self-Concordant Analysis of Generalized Linear Bandits with Forgetting.

Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fast Rate Learning in Stochastic First Price Bidding.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

Proceedings of the Asian Conference on Machine Learning, 2021

2020

A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains.

Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé

CoRR, 2020

Algorithms for Non-Stationary Generalized Linear Bandits.

Yoan Russac, Olivier Cappé, Aurélien Garivier

CoRR, 2020

2019

Algorithms for Online Influencer Marketing.

Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu

ACM Trans. Knowl. Discov. Data, 2019

Weighted Linear Bandits for Non-Stationary Environments.

Yoan Russac, Claire Vernade, Olivier Cappé

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Online Model-Free Influence Maximization with Persistence.

Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu

CoRR, 2017

Stochastic Bandit Models for Delayed Conversions.

Claire Vernade, Olivier Cappé, Vianney Perchet

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Effective Large-Scale Online Influence Maximization.

Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

J. Mach. Learn. Res., 2016

Multiple-Play Bandits in the Position-Based Model.

Paul Lagrée, Claire Vernade, Olivier Cappé

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning from missing data using selection bias in movie recommendation.

Claire Vernade, Olivier Cappé

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Soft Nonnegative Matrix Co-Factorization.

Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé

IEEE Trans. Signal Process., 2014

Piecewise constant nonnegative matrix factorization.

Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2014

On the Complexity of A/B Testing.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Kernel-Based Methods for Hypothesis Testing: A Unified View.

Zaïd Harchaoui, Francis R. Bach, Olivier Cappé, Eric Moulines

IEEE Signal Process. Mag., 2013

Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization.

Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Distributed detection/localization of change-points in high-dimensional network traffic data.

Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé

Stat. Comput., 2012

On Bayesian Upper Confidence Bounds for Bandit Problems.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Adaptive Metropolis with Online Relabeling.

Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds.

Sarah Filippi, Olivier Cappé, Aurélien Garivier

IEEE J. Sel. Top. Signal Process., 2011

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond.

Aurélien Garivier, Olivier Cappé

Proceedings of the COLT 2011, 2011

Text segmentation: A topic modeling perspective.

Hemant Misra, François Yvon, Olivier Cappé, Joemon M. Jose

Inf. Process. Manag., 2011

Robust changepoint detection based on multivariate rank statistics.

Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labeling.

Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, François Yvon

IEEE J. Sel. Top. Signal Process., 2010

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2010

Parametric Bandits: The Generalized Linear Case.

Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimism in reinforcement learning and Kullback-Leibler divergence.

Sarah Filippi, Olivier Cappé, Aurélien Garivier

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Practical Very Large Scale CRFs.

Thomas Lavergne, Olivier Cappé, François Yvon

Proceedings of the ACL 2010, 2010

2009

Selecting features with L1 regularization in Conditional Random Fields.

Nataliya Sokolovska, Olivier Cappé, François Yvon

Trait. Autom. des Langues, 2009

Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling

Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, François Yvon

CoRR, 2009

Regret Bounds for Opportunistic Channel Access

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2009

A regularized kernel-based approach to unsupervised audio segmentation.

Zaïd Harchaoui, Félicien Vallet, Alexandre Lung-Yut-Fong, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2009

Text segmentation via topic modeling: an analytical study.

Hemant Misra, François Yvon, Joemon M. Jose, Olivier Cappé

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Adaptive importance sampling in general mixture classes.

Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert

Stat. Comput., 2008

Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé.

Erwan Moreau, François Yvon, Olivier Cappé

Proceedings of the Actes de la 15ème conférence sur le Traitement Automatique des Langues Naturelles. Articles courts, 2008

The asymptotics of semi-supervised learning in discriminative probabilistic models.

Nataliya Sokolovska, Olivier Cappé, François Yvon

Proceedings of the Machine Learning, 2008

A Near Optimal Policy for Channel Allocation in Cognitive Radio.

Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Using LDA to detect semantically incoherent documents.

Hemant Misra, Olivier Cappé, François Yvon

Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Robust Similarity Measures for Named Entities Matching.

Erwan Moreau, François Yvon, Olivier Cappé

Proceedings of the COLING 2008, 2008

2007

An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo.

Olivier Cappé, Simon J. Godsill, Eric Moulines

Proc. IEEE, 2007

Inference and evaluation of the multinomial mixture model for text clustering.

Loïs Rigouste, Olivier Cappé, François Yvon

Inf. Process. Manag., 2007

Online EM Algorithm for Latent Data Models

Olivier Cappé, Eric Moulines

CoRR, 2007

2006

Recursive Em Algorithm with Applications to Doa Estimation.

Olivier Cappé, Maurice Charbit, Eric Moulines

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Comparison of Resampling Schemes for Particle Filtering

Randal Douc, Olivier Cappé, Eric Moulines

CoRR, 2005

On the use of particle filtering for maximum likelihood parameter estimation.

Olivier Cappé, Eric Moulines

Proceedings of the 13th European Signal Processing Conference, 2005

Inference in hidden Markov models.

Olivier Cappé, Eric Moulines, Tobias Rydén

Springer series in statistics, Springer, ISBN: 978-0-387-40264-2, 2005

2002

A Bayesian approach for simultaneous segmentation and classification of count data.

Olivier Cappé

IEEE Trans. Signal Process., 2002

Long-range dependence and heavy-tail modeling for teletraffic data.

Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina P. Petropulu, Xueshi Yang

IEEE Signal Process. Mag., 2002

2001

Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach.

Marine Campedel-Oudot, Olivier Cappé, Eric Moulines

IEEE Trans. Speech Audio Process., 2001

Erratum to: "Special Section on Markov Chain Monte Carlo (MCMC) Methods for Signal Processing" [Signal Processing 81 (1) (January 2001) 1-83].

Jean-Yves Tourneret, Olivier Cappé

Signal Process., 2001

Signal processing special issue on Markov Chain Monte Carlo (MCMC) methods for signal processing.

Jean-Yves Tourneret, Olivier Cappé

Signal Process., 2001

Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation.

Olivier Cappé

Monte Carlo Methods Appl., 2001

2000

On the performance of semi-blind subspace-based channel estimation.

Vincent Buchoux, Olivier Cappé, Eric Moulines, Alexei Gorokhov

IEEE Trans. Signal Process., 2000

Enhancement of speech based on non-parametric estimation of a time varying harmonic representation.

Stéphanie Dubost, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Simulation-based methods for blind maximum-likelihood filter identification.

Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines

Signal Process., 1999

1998

Continuous probabilistic transform for voice conversion.

Yannis Stylianou, Olivier Cappé, Eric Moulines

IEEE Trans. Speech Audio Process., 1998

An algorithm for maximum likelihood estimation of hidden Markov models with unknown state-tying.

Olivier Cappé, Chafic Mokbel, Denis Jouvet, Eric Moulines

IEEE Trans. Speech Audio Process., 1998

Blind and semi-blind equalization: methods and algorithms.

Vincent Buchoux, Lisa Perros-Meilhac, Olivier Cappé, Eric Moulines

Ann. des Télécommunications, 1998

A system for voice conversion based on probabilistic classification and a harmonic plus noise model.

Yannis Stylianou, Olivier Cappé

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Polynomial quasi-harmonic models for speech analysis and synthesis.

Gilles Faÿ, Eric Moulines, Olivier Cappé, Frédéric Bimbot

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Quasi-Newton method for maximum likelihood estimation of hidden Markov models.

Olivier Cappé, Vincent Buchoux, Eric Moulines

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.

Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert

Proceedings of the COMPSTAT 1998, 1998

1996

Regularization techniques for discrete cepstrum estimation.

Olivier Cappé, Eric Moulines

IEEE Signal Process. Lett., 1996

1995

Evaluation of short-time spectral attenuation techniques for the restoration of musical recordings.

Olivier Cappé, Jean Laroche

IEEE Trans. Speech Audio Process., 1995

Statistical methods for voice quality transformation.

Yannis Stylianou, Olivier Cappé, Eric Moulines

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

1994

Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor.

Olivier Cappé

IEEE Trans. Speech Audio Process., 1994

1993

Enhancement of musical signals degraded by background noise, using long-term behavior of the short-term spectral components.

Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 1993