Enhancement of musical signals degraded by background noise, using long-term behavior of the short-term spectral components. - Olivier Cappé (ICASSP (1), 1993)

Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor. - Olivier Cappé (IEEE Trans. Speech Audio Process., 1994)

Statistical methods for voice quality transformation. - Yannis Stylianou; Olivier Cappé; Eric Moulines (EUROSPEECH, 1995)

Evaluation of short-time spectral attenuation techniques for the restoration of musical recordings. - Olivier Cappé; Jean Laroche (IEEE Trans. Speech Audio Process., 1995)

Regularization techniques for discrete cepstrum estimation. - Olivier Cappé; Eric Moulines (IEEE Signal Process. Lett., 1996)

Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring. - Olivier Cappé; Randal Douc; Eric Moulines; Christian P. Robert (COMPSTAT, 1998)

Quasi-Newton method for maximum likelihood estimation of hidden Markov models. - Olivier Cappé; Vincent Buchoux; Eric Moulines (ICASSP, 1998)

Polynomial quasi-harmonic models for speech analysis and synthesis. - Gilles Faÿ; Eric Moulines; Olivier Cappé; Frédéric Bimbot (ICASSP, 1998)

A system for voice conversion based on probabilistic classification and a harmonic plus noise model. - Yannis Stylianou; Olivier Cappé (ICASSP, 1998)

Blind and semi-blind equalization: methods and algorithms. - Vincent Buchoux; Lisa Perros-Meilhac; Olivier Cappé; Eric Moulines (Ann. des Télécommunications, 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)

Continuous probabilistic transform for voice conversion. - Yannis Stylianou; Olivier Cappé; Eric Moulines (IEEE Trans. Speech Audio Process., 1998)

Simulation-based methods for blind maximum-likelihood filter identification. - Olivier Cappé; Arnaud Doucet; Marc Lavielle; Eric Moulines (Signal Process., 1999)

Enhancement of speech based on non-parametric estimation of a time varying harmonic representation. - Stéphanie Dubost; Olivier Cappé (ICASSP, 2000)

On the performance of semi-blind subspace-based channel estimation. - Vincent Buchoux; Olivier Cappé; Eric Moulines; Alexei Gorokhov (IEEE Trans. Signal Process., 2000)

Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation. - Olivier Cappé (Monte Carlo Methods Appl., 2001)

Signal processing special issue on Markov Chain Monte Carlo (MCMC) methods for signal processing. - Jean-Yves Tourneret; Olivier Cappé (Signal 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)

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)

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)

A Bayesian approach for simultaneous segmentation and classification of count data. - Olivier Cappé (IEEE Trans. Signal Process., 2002)

Inference in hidden Markov models. - Olivier Cappé; Eric Moulines; Tobias Rydén (Springer, 2005)

On the use of particle filtering for maximum likelihood parameter estimation. - Olivier Cappé; Eric Moulines (EUSIPCO, 2005)

Comparison of Resampling Schemes for Particle Filtering - Randal Douc; Olivier Cappé; Eric Moulines (CoRR, 2005)

Recursive Em Algorithm with Applications to Doa Estimation. - Olivier Cappé; Maurice Charbit; Eric Moulines (ICASSP (3), 2006)

Online EM Algorithm for Latent Data Models - Olivier Cappé; Eric Moulines (CoRR, 2007)

Inference and evaluation of the multinomial mixture model for text clustering. - Loïs Rigouste; Olivier Cappé; François Yvon (Inf. Process. Manag., 2007)

An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo. - Olivier Cappé; Simon J. Godsill; Eric Moulines (Proc. IEEE, 2007)

Robust Similarity Measures for Named Entities Matching. - Erwan Moreau; François Yvon; Olivier Cappé (COLING, 2008)

Using LDA to detect semantically incoherent documents. - Hemant Misra; Olivier Cappé; François Yvon (CoNLL, 2008)

A Near Optimal Policy for Channel Allocation in Cognitive Radio. - Sarah Filippi; Olivier Cappé; Fabrice Clérot; Eric Moulines (EWRL, 2008)

The asymptotics of semi-supervised learning in discriminative probabilistic models. - Nataliya Sokolovska; Olivier Cappé; François Yvon (ICML, 2008)

Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé. - Erwan Moreau; François Yvon; Olivier Cappé (TALN (Articles courts), 2008)

Adaptive importance sampling in general mixture classes. - Olivier Cappé; Randal Douc; Arnaud Guillin; Jean-Michel Marin; Christian P. Robert (Stat. Comput., 2008)

Text segmentation via topic modeling: an analytical study. - Hemant Misra; François Yvon; Joemon M. Jose; Olivier Cappé (CIKM, 2009)

A regularized kernel-based approach to unsupervised audio segmentation. - Zaïd Harchaoui; Félicien Vallet; Alexandre Lung-Yut-Fong; Olivier Cappé (ICASSP, 2009)

Regret Bounds for Opportunistic Channel Access - Sarah Filippi; Olivier Cappé; Aurélien Garivier (CoRR, 2009)

Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling - Nataliya Sokolovska; Thomas Lavergne; Olivier Cappé; François Yvon (CoRR, 2009)

Selecting features with L1 regularization in Conditional Random Fields. - Nataliya Sokolovska; Olivier Cappé; François Yvon (Trait. Autom. des Langues, 2009)

Practical Very Large Scale CRFs. - Thomas Lavergne; Olivier Cappé; François Yvon (ACL, 2010)

Optimism in reinforcement learning and Kullback-Leibler divergence. - Sarah Filippi; Olivier Cappé; Aurélien Garivier (Allerton, 2010)

Parametric Bandits: The Generalized Linear Case. - Sarah Filippi; Olivier Cappé; Aurélien Garivier; Csaba Szepesvári (NIPS, 2010)

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence - Sarah Filippi; Olivier Cappé; Aurélien Garivier (CoRR, 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)

Robust changepoint detection based on multivariate rank statistics. - Alexandre Lung-Yut-Fong; Céline Lévy-Leduc; Olivier Cappé (ICASSP, 2011)

Text segmentation: A topic modeling perspective. - Hemant Misra; François Yvon; Olivier Cappé; Joemon M. Jose (Inf. Process. Manag., 2011)

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. - Aurélien Garivier; Olivier Cappé (COLT, 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)

Adaptive Metropolis with Online Relabeling. - Rémi Bardenet; Olivier Cappé; Gersende Fort; Balázs Kégl (AISTATS, 2012)

On Bayesian Upper Confidence Bounds for Bandit Problems. - Emilie Kaufmann; Olivier Cappé; Aurélien Garivier (AISTATS, 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)

Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (ICASSP, 2013)

Kernel-Based Methods for Hypothesis Testing: A Unified View. - Zaïd Harchaoui; Francis R. Bach; Olivier Cappé; Eric Moulines (IEEE Signal Process. Mag., 2013)

On the Complexity of A/B Testing. - Emilie Kaufmann; Olivier Cappé; Aurélien Garivier (COLT, 2014)

Piecewise constant nonnegative matrix factorization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (ICASSP, 2014)

Soft Nonnegative Matrix Co-Factorization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (IEEE Trans. Signal Process., 2014)

Learning from missing data using selection bias in movie recommendation. - Claire Vernade; Olivier Cappé (DSAA, 2015)

Multiple-Play Bandits in the Position-Based Model. - Paul Lagrée; Claire Vernade; Olivier Cappé (NIPS, 2016)

On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models. - Emilie Kaufmann; Olivier Cappé; Aurélien Garivier (J. Mach. Learn. Res., 2016)

Effective Large-Scale Online Influence Maximization. - Paul Lagrée; Olivier Cappé; Bogdan Cautis; Silviu Maniu (ICDM, 2017)

Stochastic Bandit Models for Delayed Conversions. - Claire Vernade; Olivier Cappé; Vianney Perchet (UAI, 2017)

Online Model-Free Influence Maximization with Persistence. - Paul Lagrée; Olivier Cappé; Bogdan Cautis; Silviu Maniu (CoRR, 2017)

Weighted Linear Bandits for Non-Stationary Environments. - Yoan Russac; Claire Vernade; Olivier Cappé (NeurIPS, 2019)

Algorithms for Online Influencer Marketing. - Paul Lagrée; Olivier Cappé; Bogdan Cautis; Silviu Maniu (ACM Trans. Knowl. Discov. Data, 2019)

Algorithms for Non-Stationary Generalized Linear Bandits. - Yoan Russac; Olivier Cappé; Aurélien Garivier (CoRR, 2020)

A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. - Louis Filstroff; Olivier Gouvert; Cédric Févotte; Olivier Cappé (CoRR, 2020)

Fast Rate Learning in Stochastic First Price Bidding. - Juliette Achddou; Olivier Cappé; Aurélien Garivier (ACML, 2021)

Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. - Yoan Russac; Louis Faury; Olivier Cappé; Aurélien Garivier (AISTATS, 2021)

Efficient Algorithms for Stochastic Repeated Second-price Auctions. - Juliette Achddou; Olivier Cappé; Aurélien Garivier (ALT, 2021)

On Limited-Memory Subsampling Strategies for Bandits. - Dorian Baudry; Yoan Russac; Olivier Cappé (ICML, 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 (NeurIPS, 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)

Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation. - Juliette Achddou; Olivier Cappé; Aurélien Garivier (CoRR, 2022)

Optimal Classification under Performative Distribution Shift. - Edwige Cyffers; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (NeurIPS, 2024)

Stochastic Direct Search Methods for Blind Resource Allocation. - Juliette Achddou; Olivier Cappé; Aurélien Garivier (Trans. Mach. Learn. Res., 2024)

Memorization in Fine-Tuned Large Language Models. - Danil Savine; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (CoRR, 2025)