【Move to another page】
Quote
https://ift.tt/30bXcI7
Éric Moulines
DMySon:
[[File:Éric Moulines - 2019 (cropped).jpg|thumb|Eric Moulines in April 2019]]
'''Éric Moulines''', born in [[Bordeaux]] on 24 January 1963, is a French researcher in [[Machine learning|statistical learning]] and [[signal processing]]. He received the silver medal from the [[Centre national de la recherche scientifique|CNRS]] in 2010<ref name="cnrs-médaille"></ref>, the France Télécom prize awarded in collaboration with the French Academy of Sciences in 2011. He was appointed a Fellow of the European Association for Signal Processing in 2012 and of the Institute of Mathematical Statistics in 2016<ref>Liquid error: wrong number of arguments (1 for 2)</ref>. He is General Engineer of the Corps des Mines (X81).
== Biography ==
Éric Moulines entered the [[École Polytechnique|École polytechnique]] in 1981, then went to study at [[Télécom ParisTech]].
He began his career at the [[Centre national d'études des télécommunications]] where he worked on [[speech synthesis]] from text. He is involved in the development of new waveform synthesis methods called PSOLA (pitch synchronous overlap and add)<ref>Eric Moulines, Francis Charpentier, « Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones », ''Speech Communication'', 1990, <abbr>p.</abbr> 453--467</ref>.
After defending his thesis in 1990<ref>Liquid error: wrong number of arguments (1 for 2)</ref>, he joined the [[École nationale supérieure des télécommunications|École Nationale Supérieure des Télécommunications]] as a lecturer. He then became interested in different problems of statistical signal processing. In particular, it contributes to the development of subspaces methods for the identification of multivariate linear systems<ref>E Moulines, P Duhamel, JF Cardoso, S Mayrargue, « Subspace methods for the blind identification of multichannel FIR filters », ''IEEE Transactions on signal processing,'', 1995, <abbr>p.</abbr> 516--525</ref> and source separation<ref>Belouchrani, Adel and Abed-Meraim, Karim and Cardoso, J-F and Moulines, Eric, « A blind source separation technique using second-order statistics », ''IEEE Transactions on signal processing'', 1997, <abbr>p.</abbr> 434--444</ref> and develops new [[Algorithm|algorithms]] for adaptive system estimation.
He received the authorization to direct research in 2006 and became a professor at Télécom Paris. He then devoted himself mainly to the application of Bayesian methods with applications in signal processing and statistics<ref>Liquid error: wrong number of arguments (1 for 2)</ref>.
Éric Moulines directed 21 theses, was president of the jury for 9 theses, was rapporteur for 10 theses, was member of the jury for 6 theses<ref>Liquid error: wrong number of arguments (1 for 2)</ref>.
== Scientific work<ref>Liquid error: wrong number of arguments (1 for 2)</ref> ==
He is interested in the inference of latent variable models<ref>O Cappé, E Moulines, « On‐line expectation–maximization algorithm for latent data models », ''Journal of the Royal Statistical Society: Series B (Statistical Methodology)'', 2009, <abbr>p.</abbr> 593--613</ref> and in particular [[Hidden Markov model|hidden Markov chains]]<ref>R Douc, E Moulines, T Rydén, « Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime », ''The Annals of statistics'', 2004, <abbr>p.</abbr> 2254--2304</ref>,<ref>O. Cappé, E. Moulines, T. Ryden, « Inference in Hidden Markov Models », ''Springer Series in Statistics'', 2006</ref> and non-linear state models (non-linear filtering)<ref name=":0">R Douc, A Garivier, E Moulines, J Olsson, « Sequential Monte Carlo smoothing for general state space hidden Markov models », ''The Annals of Applied Probability'', 2011, <abbr>p.</abbr> 2109--2145</ref> <ref name=":1">R Douc, E Moulines, D Stoffer, « Nonlinear time series: Theory, methods and applications with R examples », ''Chapman and Hall/CRC'', 2014</ref> In particular, it contributes to filtering methods using interacting particle systems<ref name=":0" /> <ref name=":1" />. He was more generally interested in the inference of partially observed Markovian models, coupling estimation and simulation problems with Monte Carlo Markov Chain Methods (MCMC). He has also developed numerous theoretical tools for the convergence analysis of MCMC algorithms, obtaining fundamental results on the long time behaviour of Markov chains<ref>C Andrieu, É Moulines, « On the ergodicity properties of some adaptive MCMC algorithms », ''The Annals of Applied Probability'', 2006, <abbr>p.</abbr> 1462--1505</ref> <ref>R Douc, E Moulines, P Priouret, P Soulier, « Markov Chains », ''Springer'', 2018</ref> <ref>A Durmus, E Moulines, « Nonasymptotic convergence analysis for the unadjusted Langevin algorithm », ''The Annals of Applied Probability'', 2017, <abbr>p.</abbr> 1551--1587</ref>.
Since 2005, he has been working on statistical learning problems, including the analysis of [[stochastic]] optimization algorithms<ref>A Garivier, E Moulines, « On upper-confidence bound policies for switching bandit problems », ''International Conference on Algorithmic Learning'', 2011, <abbr>p.</abbr> 174--188</ref> <ref>E Moulines, FR Bach, « Non-asymptotic analysis of stochastic approximation algorithms for machine learning », ''Advances in Neural Information Processing Systems'', 2011, <abbr>p.</abbr> 451--459</ref>.
He joined the Centre de mathématiques appliquées de l'École polytechnique<ref>Liquid error: wrong number of arguments (1 for 2)</ref> as a professor in 2015<ref>Liquid error: wrong number of arguments (1 for 2)</ref>. He is interested in [[Bayesian inference|Bayesian]] inference from large scale models, with applications in uncertainty quantification in statistical learning.
== Honours and Awards ==
* Elected member of the French Academy of Sciences in 201722
* [[CNRS Silver Medal]] in 20101
* Officier of the [[Ordre des Palmes académiques|Palmes Académiques]].
==References==
[[Category:1963 births]]
[[Category:People from Bordeaux]]
[[Category:WikiProject France articles]]
[[Category:WikiProject Europe articles]]
[[Category:Members of the French Academy of Sciences]]
[[Category:École Polytechnique alumni]]
[[Category:École Polytechnique faculty]]
[[Category:CNRS awards]]
[[Category:French mathematicians]]
[[Category:Statisticians]]
[[Category:Researchers]]
[[Category:Scientists]]
'''Éric Moulines''', born in [[Bordeaux]] on 24 January 1963, is a French researcher in [[Machine learning|statistical learning]] and [[signal processing]]. He received the silver medal from the [[Centre national de la recherche scientifique|CNRS]] in 2010<ref name="cnrs-médaille"></ref>, the France Télécom prize awarded in collaboration with the French Academy of Sciences in 2011. He was appointed a Fellow of the European Association for Signal Processing in 2012 and of the Institute of Mathematical Statistics in 2016<ref>Liquid error: wrong number of arguments (1 for 2)</ref>. He is General Engineer of the Corps des Mines (X81).
== Biography ==
Éric Moulines entered the [[École Polytechnique|École polytechnique]] in 1981, then went to study at [[Télécom ParisTech]].
He began his career at the [[Centre national d'études des télécommunications]] where he worked on [[speech synthesis]] from text. He is involved in the development of new waveform synthesis methods called PSOLA (pitch synchronous overlap and add)<ref>Eric Moulines, Francis Charpentier, « Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones », ''Speech Communication'', 1990, <abbr>p.</abbr> 453--467</ref>.
After defending his thesis in 1990<ref>Liquid error: wrong number of arguments (1 for 2)</ref>, he joined the [[École nationale supérieure des télécommunications|École Nationale Supérieure des Télécommunications]] as a lecturer. He then became interested in different problems of statistical signal processing. In particular, it contributes to the development of subspaces methods for the identification of multivariate linear systems<ref>E Moulines, P Duhamel, JF Cardoso, S Mayrargue, « Subspace methods for the blind identification of multichannel FIR filters », ''IEEE Transactions on signal processing,'', 1995, <abbr>p.</abbr> 516--525</ref> and source separation<ref>Belouchrani, Adel and Abed-Meraim, Karim and Cardoso, J-F and Moulines, Eric, « A blind source separation technique using second-order statistics », ''IEEE Transactions on signal processing'', 1997, <abbr>p.</abbr> 434--444</ref> and develops new [[Algorithm|algorithms]] for adaptive system estimation.
He received the authorization to direct research in 2006 and became a professor at Télécom Paris. He then devoted himself mainly to the application of Bayesian methods with applications in signal processing and statistics<ref>Liquid error: wrong number of arguments (1 for 2)</ref>.
Éric Moulines directed 21 theses, was president of the jury for 9 theses, was rapporteur for 10 theses, was member of the jury for 6 theses<ref>Liquid error: wrong number of arguments (1 for 2)</ref>.
== Scientific work<ref>Liquid error: wrong number of arguments (1 for 2)</ref> ==
He is interested in the inference of latent variable models<ref>O Cappé, E Moulines, « On‐line expectation–maximization algorithm for latent data models », ''Journal of the Royal Statistical Society: Series B (Statistical Methodology)'', 2009, <abbr>p.</abbr> 593--613</ref> and in particular [[Hidden Markov model|hidden Markov chains]]<ref>R Douc, E Moulines, T Rydén, « Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime », ''The Annals of statistics'', 2004, <abbr>p.</abbr> 2254--2304</ref>,<ref>O. Cappé, E. Moulines, T. Ryden, « Inference in Hidden Markov Models », ''Springer Series in Statistics'', 2006</ref> and non-linear state models (non-linear filtering)<ref name=":0">R Douc, A Garivier, E Moulines, J Olsson, « Sequential Monte Carlo smoothing for general state space hidden Markov models », ''The Annals of Applied Probability'', 2011, <abbr>p.</abbr> 2109--2145</ref> <ref name=":1">R Douc, E Moulines, D Stoffer, « Nonlinear time series: Theory, methods and applications with R examples », ''Chapman and Hall/CRC'', 2014</ref> In particular, it contributes to filtering methods using interacting particle systems<ref name=":0" /> <ref name=":1" />. He was more generally interested in the inference of partially observed Markovian models, coupling estimation and simulation problems with Monte Carlo Markov Chain Methods (MCMC). He has also developed numerous theoretical tools for the convergence analysis of MCMC algorithms, obtaining fundamental results on the long time behaviour of Markov chains<ref>C Andrieu, É Moulines, « On the ergodicity properties of some adaptive MCMC algorithms », ''The Annals of Applied Probability'', 2006, <abbr>p.</abbr> 1462--1505</ref> <ref>R Douc, E Moulines, P Priouret, P Soulier, « Markov Chains », ''Springer'', 2018</ref> <ref>A Durmus, E Moulines, « Nonasymptotic convergence analysis for the unadjusted Langevin algorithm », ''The Annals of Applied Probability'', 2017, <abbr>p.</abbr> 1551--1587</ref>.
Since 2005, he has been working on statistical learning problems, including the analysis of [[stochastic]] optimization algorithms<ref>A Garivier, E Moulines, « On upper-confidence bound policies for switching bandit problems », ''International Conference on Algorithmic Learning'', 2011, <abbr>p.</abbr> 174--188</ref> <ref>E Moulines, FR Bach, « Non-asymptotic analysis of stochastic approximation algorithms for machine learning », ''Advances in Neural Information Processing Systems'', 2011, <abbr>p.</abbr> 451--459</ref>.
He joined the Centre de mathématiques appliquées de l'École polytechnique<ref>Liquid error: wrong number of arguments (1 for 2)</ref> as a professor in 2015<ref>Liquid error: wrong number of arguments (1 for 2)</ref>. He is interested in [[Bayesian inference|Bayesian]] inference from large scale models, with applications in uncertainty quantification in statistical learning.
== Honours and Awards ==
* Elected member of the French Academy of Sciences in 201722
* [[CNRS Silver Medal]] in 20101
* Officier of the [[Ordre des Palmes académiques|Palmes Académiques]].
==References==
[[Category:1963 births]]
[[Category:People from Bordeaux]]
[[Category:WikiProject France articles]]
[[Category:WikiProject Europe articles]]
[[Category:Members of the French Academy of Sciences]]
[[Category:École Polytechnique alumni]]
[[Category:École Polytechnique faculty]]
[[Category:CNRS awards]]
[[Category:French mathematicians]]
[[Category:Statisticians]]
[[Category:Researchers]]
[[Category:Scientists]]
September 19, 2019 at 07:07PM
