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ORCIDOlivier Cappé
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2020 – today
- 2024
[j28]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Stochastic Direct Search Methods for Blind Resource Allocation. Trans. Mach. Learn. Res. 2024 (2024)- 2022
- [i23]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation. CoRR abs/2210.05222 (2022) - 2021
- [j27]Louis Filstroff
, Olivier Gouvert, Cédric Févotte, Olivier Cappé:
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization. IEEE Trans. Signal Process. 69: 1614-1626 (2021) - [c36]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Fast Rate Learning in Stochastic First Price Bidding. ACML 2021: 1754-1769 - [c35]Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier:
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. AISTATS 2021: 658-666 - [c34]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Efficient Algorithms for Stochastic Repeated Second-price Auctions. ALT 2021: 99-150 - [c33]Dorian Baudry, Yoan Russac, Olivier Cappé:
On Limited-Memory Subsampling Strategies for Bandits. ICML 2021: 727-737 - [c32]Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen:
A/B/n Testing with Control in the Presence of Subpopulations. NeurIPS 2021: 25100-25110 - [i22]Dorian Baudry, Yoan Russac, Olivier Cappé:
On Limited-Memory Subsampling Strategies for Bandits. CoRR abs/2106.10935 (2021) - [i21]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Fast Rate Learning in Stochastic First Price Bidding. CoRR abs/2107.01835 (2021) - [i20]Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen:
A/B/n Testing with Control in the Presence of Subpopulations. CoRR abs/2110.15573 (2021) - 2020
- [i19]Yoan Russac, Olivier Cappé, Aurélien Garivier:
Algorithms for Non-Stationary Generalized Linear Bandits. CoRR abs/2003.10113 (2020) - [i18]Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé:
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. CoRR abs/2006.12843 (2020) - [i17]Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier:
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. CoRR abs/2011.00819 (2020) - [i16]Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Efficient Algorithms for Stochastic Repeated Second-price Auctions. CoRR abs/2011.05072 (2020)
2010 – 2019
- 2019
- [j26]Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu:
Algorithms for Online Influencer Marketing. ACM Trans. Knowl. Discov. Data 13(1): 3:1-3:30 (2019) - [c31]Yoan Russac, Claire Vernade, Olivier Cappé:
Weighted Linear Bandits for Non-Stationary Environments. NeurIPS 2019: 12017-12026 - [i15]Yoan Russac, Claire Vernade, Olivier Cappé:
Weighted Linear Bandits for Non-Stationary Environments. CoRR abs/1909.09146 (2019) - 2017
- [c30]Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu:
Effective Large-Scale Online Influence Maximization. ICDM 2017: 937-942 - [c29]Claire Vernade, Olivier Cappé, Vianney Perchet:
Stochastic Bandit Models for Delayed Conversions. UAI 2017 - [i14]Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu:
Online Model-Free Influence Maximization with Persistence. CoRR abs/1702.05354 (2017) - [i13]Claire Vernade, Olivier Cappé, Vianney Perchet:
Stochastic Bandit Models for Delayed Conversions. CoRR abs/1706.09186 (2017) - 2016
- [j25]Emilie Kaufmann, Olivier Cappé, Aurélien Garivier:
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models. J. Mach. Learn. Res. 17: 1:1-1:42 (2016) - [c28]Paul Lagrée, Claire Vernade, Olivier Cappé:
Multiple-Play Bandits in the Position-Based Model. NIPS 2016: 1597-1605 - [i12]Paul Lagrée, Claire Vernade, Olivier Cappé:
Multiple-Play Bandits in the Position-Based Model. CoRR abs/1606.02448 (2016) - 2015
- [c27]Claire Vernade, Olivier Cappé:
Learning from missing data using selection bias in movie recommendation. DSAA 2015: 1-9 - [i11]Claire Vernade, Olivier Cappé:
Learning From Missing Data Using Selection Bias in Movie Recommendation. CoRR abs/1509.09130 (2015) - 2014
- [j24]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft Nonnegative Matrix Co-Factorization. IEEE Trans. Signal Process. 62(22): 5940-5949 (2014) - [c26]Emilie Kaufmann, Olivier Cappé, Aurélien Garivier:
On the Complexity of A/B Testing. COLT 2014: 461-481 - [c25]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Piecewise constant nonnegative matrix factorization. ICASSP 2014: 6721-6725 - [i10]Emilie Kaufmann, Olivier Cappé, Aurélien Garivier:
On the Complexity of A/B Testing. CoRR abs/1405.3224 (2014) - [i9]Emilie Kaufmann, Olivier Cappé, Aurélien Garivier:
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. CoRR abs/1407.4443 (2014) - 2013
- [j23]Zaïd Harchaoui, Francis R. Bach, Olivier Cappé, Eric Moulines:
Kernel-Based Methods for Hypothesis Testing: A Unified View. IEEE Signal Process. Mag. 30(4): 87-97 (2013) - [c24]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. ICASSP 2013: 3537-3541 - 2012
- [j22]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Distributed detection/localization of change-points in high-dimensional network traffic data. Stat. Comput. 22(2): 485-496 (2012) - [c23]Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl:
Adaptive Metropolis with Online Relabeling. AISTATS 2012: 91-99 - [c22]Emilie Kaufmann, Olivier Cappé, Aurélien Garivier:
On Bayesian Upper Confidence Bounds for Bandit Problems. AISTATS 2012: 592-600 - 2011
- [j21]Hemant Misra, François Yvon, Olivier Cappé, Joemon M. Jose:
Text segmentation: A topic modeling perspective. Inf. Process. Manag. 47(4): 528-544 (2011) - [j20]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE J. Sel. Top. Signal Process. 5(1): 68-76 (2011) - [c21]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Robust changepoint detection based on multivariate rank statistics. ICASSP 2011: 3608-3611 - [c20]Aurélien Garivier, Olivier Cappé:
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. COLT 2011: 359-376 - [i8]Aurélien Garivier, Olivier Cappé:
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. CoRR abs/1102.2490 (2011) - 2010
- [j19]Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, François Yvon:
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labeling. IEEE J. Sel. Top. Signal Process. 4(6): 953-964 (2010) - [c19]Thomas Lavergne, Olivier Cappé, François Yvon:
Practical Very Large Scale CRFs. ACL 2010: 504-513 - [c18]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton 2010: 115-122 - [c17]Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári:
Parametric Bandits: The Generalized Linear Case. NIPS 2010: 586-594 - [i7]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence. CoRR abs/1004.5229 (2010)
2000 – 2009
- 2009
- [j18]Nataliya Sokolovska, Olivier Cappé, François Yvon:
Selecting features with L1 regularization in Conditional Random Fields. Trait. Autom. des Langues 50(3): 139-171 (2009) - [c16]Hemant Misra, François Yvon, Joemon M. Jose, Olivier Cappé:
Text segmentation via topic modeling: an analytical study. CIKM 2009: 1553-1556 - [c15]Zaïd Harchaoui, Félicien Vallet, Alexandre Lung-Yut-Fong, Olivier Cappé:
A regularized kernel-based approach to unsupervised audio segmentation. ICASSP 2009: 1665-1668 - [i6]Sarah Filippi, Olivier Cappé, Aurélien Garivier:
Regret Bounds for Opportunistic Channel Access. CoRR abs/0908.0319 (2009) - [i5]Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, François Yvon:
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling. CoRR abs/0909.1308 (2009) - [i4]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Distributed detection/localization of change-points in high-dimensional network traffic data. CoRR abs/0909.5524 (2009) - 2008
- [j17]Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert:
Adaptive importance sampling in general mixture classes. Stat. Comput. 18(4): 447-459 (2008) - [c14]Erwan Moreau, François Yvon, Olivier Cappé:
Robust Similarity Measures for Named Entities Matching. COLING 2008: 593-600 - [c13]Hemant Misra, Olivier Cappé, François Yvon:
Using LDA to detect semantically incoherent documents. CoNLL 2008: 41-48 - [c12]Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines:
A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL 2008: 69-81 - [c11]Nataliya Sokolovska, Olivier Cappé, François Yvon:
The asymptotics of semi-supervised learning in discriminative probabilistic models. ICML 2008: 984-991 - [c10]Erwan Moreau, François Yvon, Olivier Cappé:
Appariement d'entités nommées coréférentes : combinaisons de mesures de similarité par apprentissage supervisé. TALN (Articles courts) 2008: 179-188 - 2007
- [j16]Loïs Rigouste, Olivier Cappé, François Yvon:
Inference and evaluation of the multinomial mixture model for text clustering. Inf. Process. Manag. 43(5): 1260-1280 (2007) - [j15]Olivier Cappé, Simon J. Godsill, Eric Moulines:
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo. Proc. IEEE 95(5): 899-924 (2007) - [i3]Olivier Cappé, Eric Moulines:
Online EM Algorithm for Latent Data Models. CoRR abs/0712.4273 (2007) - 2006
- [c9]Olivier Cappé, Maurice Charbit, Eric Moulines:
Recursive Em Algorithm with Applications to Doa Estimation. ICASSP (3) 2006: 664-667 - [i2]Loïs Rigouste, Olivier Cappé, François Yvon:
Inference and Evaluation of the Multinomial Mixture Model for Text Clustering. CoRR abs/cs/0606069 (2006) - 2005
- [b1]Olivier Cappé, Eric Moulines, Tobias Rydén:
Inference in hidden Markov models. Springer series in statistics, Springer 2005, ISBN 978-0-387-40264-2, pp. I-XVII, 1-651 - [c8]Olivier Cappé, Eric Moulines:
On the use of particle filtering for maximum likelihood parameter estimation. EUSIPCO 2005: 1-4 - [i1]Randal Douc, Olivier Cappé, Eric Moulines:
Comparison of Resampling Schemes for Particle Filtering. CoRR abs/cs/0507025 (2005) - 2002
- [j14]Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina P. Petropulu, Xueshi Yang:
Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Process. Mag. 19(3): 14-27 (2002) - [j13]Olivier Cappé:
A Bayesian approach for simultaneous segmentation and classification of count data. IEEE Trans. Signal Process. 50(2): 400-410 (2002) - 2001
- [j12]Olivier Cappé:
Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation. Monte Carlo Methods Appl. 7(1-2): 81-92 (2001) - [j11]Jean-Yves Tourneret, Olivier Cappé:
Signal processing special issue on Markov Chain Monte Carlo (MCMC) methods for signal processing. Signal Process. 81(1): 1-2 (2001) - [j10]Jean-Yves Tourneret, Olivier Cappé:
Erratum to: "Special Section on Markov Chain Monte Carlo (MCMC) Methods for Signal Processing" [Signal Processing 81 (1) (January 2001) 1-83]. Signal Process. 81(11): 2447 (2001) - [j9]Marine Campedel-Oudot, Olivier Cappé, Eric Moulines:
Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach. IEEE Trans. Speech Audio Process. 9(5): 469-481 (2001) - 2000
- [j8]Vincent Buchoux, Olivier Cappé, Eric Moulines, Alexei Gorokhov:
On the performance of semi-blind subspace-based channel estimation. IEEE Trans. Signal Process. 48(6): 1750-1759 (2000) - [c7]Stéphanie Dubost, Olivier Cappé:
Enhancement of speech based on non-parametric estimation of a time varying harmonic representation. ICASSP 2000: 1859-1862
1990 – 1999
- 1999
- [j7]Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines:
Simulation-based methods for blind maximum-likelihood filter identification. Signal Process. 73(1-2): 3-25 (1999) - 1998
- [j6]Vincent Buchoux, Lisa Perros-Meilhac, Olivier Cappé, Eric Moulines:
Blind and semi-blind equalization: methods and algorithms. Ann. des Télécommunications 53(11-12): 449-465 (1998) - [j5]Olivier Cappé, Chafic Mokbel, Denis Jouvet, 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 (1998) - [j4]Yannis Stylianou, Olivier Cappé, Eric Moulines:
Continuous probabilistic transform for voice conversion. IEEE Trans. Speech Audio Process. 6(2): 131-142 (1998) - [c6]Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert:
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring. COMPSTAT 1998: 215-220 - [c5]Yannis Stylianou, Olivier Cappé:
A system for voice conversion based on probabilistic classification and a harmonic plus noise model. ICASSP 1998: 281-284 - [c4]Gilles Faÿ, Eric Moulines, Olivier Cappé, Frédéric Bimbot:
Polynomial quasi-harmonic models for speech analysis and synthesis. ICASSP 1998: 865-868 - [c3]Olivier Cappé, Vincent Buchoux, Eric Moulines:
Quasi-Newton method for maximum likelihood estimation of hidden Markov models. ICASSP 1998: 2265-2268 - 1996
- [j3]Olivier Cappé, Eric Moulines:
Regularization techniques for discrete cepstrum estimation. IEEE Signal Process. Lett. 3(4): 100-102 (1996) - 1995
- [j2]Olivier Cappé, Jean Laroche:
Evaluation of short-time spectral attenuation techniques for the restoration of musical recordings. IEEE Trans. Speech Audio Process. 3(1): 84-93 (1995) - [c2]Yannis Stylianou, Olivier Cappé, Eric Moulines:
Statistical methods for voice quality transformation. EUROSPEECH 1995: 447-450 - 1994
- [j1]Olivier Cappé:
Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor. IEEE Trans. Speech Audio Process. 2(2): 345-349 (1994) - 1993
- [c1]Olivier Cappé:
Enhancement of musical signals degraded by background noise, using long-term behavior of the short-term spectral components. ICASSP (1) 1993: 217-220
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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