Eric Moulines
Eric Moulines
Professeur, Ecole Polytechnique, Membre de l'Académie des Sciences
Geverifieerd e-mailadres voor polytechnique.edu
Geciteerd door
Geciteerd door
A blind source separation technique using second-order statistics
A Belouchrani, K Abed-Meraim, JF Cardoso, E Moulines
IEEE Transactions on signal processing 45 (2), 434-444, 1997
Subspace methods for the blind identification of multichannel FIR filters
E Moulines, P Duhamel, JF Cardoso, S Mayrargue
IEEE Transactions on signal processing 43 (2), 516-525, 1995
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones
E Moulines, F Charpentier
Speech communication 9 (5-6), 453-467, 1990
Continuous probabilistic transform for voice conversion
Y Stylianou, O Cappé, E Moulines
IEEE Transactions on speech and audio processing 6 (2), 131-142, 1998
An overview of existing methods and recent advances in sequential Monte Carlo
O Cappé, SJ Godsill, E Moulines
Proceedings of the IEEE 95 (5), 899-924, 2007
Convergence of a stochastic approximation version of the EM algorithm
B Delyon, M Lavielle, E Moulines
Annals of statistics, 94-128, 1999
Non-asymptotic analysis of stochastic approximation algorithms for machine learning
E Moulines, F Bach
Advances in neural information processing systems 24, 2011
On‐line expectation–maximization algorithm for latent data models
O Cappé, E Moulines
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
Voice transformation using PSOLA technique
H Valbret, E Moulines, JP Tubach
Speech communication 11 (2-3), 175-187, 1992
Non-parametric techniques for pitch-scale and time-scale modification of speech
E Moulines, J Laroche
Speech communication 16 (2), 175-205, 1995
On upper-confidence bound policies for switching bandit problems
A Garivier, E Moulines
Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo …, 2011
Non-strongly-convex smooth stochastic approximation with convergence rate O (1/n)
F Bach, E Moulines
Advances in neural information processing systems 26, 2013
A subspace algorithm for certain blind identification problems
K Abed-Meraim, P Loubaton, E Moulines
IEEE transactions on information theory 43 (2), 499-511, 1997
Least‐squares estimation of an unknown number of shifts in a time series
M Lavielle, E Moulines
Journal of time series analysis 21 (1), 33-59, 2000
On the ergodicity properties of some adaptive MCMC algorithms
C Andrieu, É Moulines
Prediction error method for second-order blind identification
K Abed-Meraim, E Moulines, P Loubaton
IEEE Transactions on Signal Processing 45 (3), 694-705, 1997
Nonasymptotic convergence analysis for the unadjusted Langevin algorithm
A Durmus, E Moulines
Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime
R Douc, E Moulines, T Rydén
Nonlinear time series: Theory, methods and applications with R examples
R Douc, E Moulines, D Stoffer
CRC press, 2014
Stability of stochastic approximation under verifiable conditions
C Andrieu, É Moulines, P Priouret
SIAM Journal on control and optimization 44 (1), 283-312, 2005
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