Eric Moulines

发表

ODE methods for Markov chain stability with applications to MCMC

Gersende Fort, Eric Moulines, Sean P. Meyn, 2006, valuetools '06.

Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples pdf

Eric Moulines, Walid Hachem, François Roueff, 2009, ArXiv.

On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality

Eric Moulines, Aurélien Garivier, Steffen Barembruch, 2009, IEEE Transactions on Signal Processing.

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

Eric Moulines, Olivier Cappé, Vincent Buchoux, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo

Eric Moulines, Roland Badeau, Alain Durmus, 2016, NIPS.

Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples

Eric Moulines, Walid Hachem, François Roueff, 2011, IEEE Transactions on Information Theory.

Direction finding algorithms using fourth order statistics: asymptotic performance analysis

Eric Moulines, Jean-Francois Cardoso, É. Moulines, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind and semi-blind equalization: methods and algorithms

Eric Moulines, Olivier Cappé, Vincent Buchoux, 1998, Ann. des Télécommunications.

On the error exponents for detecting randomly sampled noisy diffusion processes

Eric Moulines, Walid Hachem, François Roueff, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo

Eric Moulines, Alain Durmus, Marcelo Pereyra, 2017, COLT.

High-quality speech modification based on a harmonic + noise model

Eric Moulines, Yannis Stylianou, Jean Laroche, 1995, EUROSPEECH.

Probabilistic low-rank matrix completion on finite alphabets

Eric Moulines, Joseph Salmon, Jean Lafond, 2014, NIPS.

Coverage mapping using spatial interpolation with field measurements

Berna Sayraç, Sana Ben Jemaa, Gersende Fort, 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

Asymptotic performance of second order blind separation

Eric Moulines, Karim Abed-Meraim, Adel Belouchrani, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

High-rate quantization for the Neyman-Pearson detection of Hidden Markov Processes

Pascal Bianchi, Eric Moulines, Pablo Piantanida, 2010, 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo).

Considering spatial information to improve anomaly detection in heterogeneous hyperspectral images

Eric Moulines, F. Weber, Sidonie Lefebvre, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Stability of Stochastic Approximation under Verifiable Conditions

Eric Moulines, Pierre Priouret, Christophe Andrieu, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Training-based channel estimation and de-noising for the UMTS TDD mode

Philippe Loubaton, Eric Moulines, Samson Lasaulce, 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

An adaptive broadband estimator of the fractional differencing coefficient

Eric Moulines, Philippe Soulier, Clifford Hurvich, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Aircraft classification with a low resolution infrared sensor

Eric Moulines, Jérémie Jakubowicz, Stéphanie Allassonnière, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

A Near Optimal Policy for Channel Allocation in Cognitive Radio

Eric Moulines, Olivier Cappé, Sarah Filippi, 2008, EWRL.

New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem

Gersende Fort, Eric Moulines, Sylvain Le Corff, 2012, LVA/ICA.

How Much More DOA Information In Higher-order Statistics ?

Eric Moulines, Jean-Francois Cardoso, É. Moulines, 1994, IEEE Seventh SP Workshop on Statistical Signal and Array Processing.

Voice transformation using PSOLA technique

Eric Moulines, Jean-Pierre Tubach, Hélène Valbret, 1991, Speech Commun..

A blind source separation technique using second-order statistics

Eric Moulines, Karim Abed-Meraim, Adel Belouchrani, 1997, IEEE Trans. Signal Process..

Inference in hidden Markov models

Eric Moulines, Olivier Cappé, Tobias Rydén, 2010, Springer series in statistics.

Fast and privacy preserving distributed low-rank regression

Eric Moulines, Anna Scaglione, Hoi-To Wai, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Kernel Change-point Analysis

Zaïd Harchaoui, Eric Moulines, Francis R. Bach, 2008, NIPS.

MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means

Eric Moulines, Matthieu Lerasle, Guillaume Lecué, 2018, ICML.

Nonparametric estimation of a shot-noise process

Eric Moulines, François Roueff, Antoine Souloumiac, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Stochastic Fista Algorithms: So Fast ?

Gersende Fort, Eric Moulines, Laurent Risser, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Surrogate Based Centralized Automated Optimization Applied to LTE Mobility Load Balancing

Berna Sayraç, Eric Moulines, Yasir Khan, 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

A robustness property of DOA estimators based on covariance

Eric Moulines, Jean-François Cardoso, É. Moulines, 1994, IEEE Trans. Signal Process..

On Upper-Confidence Bound Policies for Switching Bandit Problems

Eric Moulines, Aurélien Garivier, Aurélien Garivier, 2011, ALT.

Online EM Algorithm for Latent Data Models pdf

Eric Moulines, Olivier Cappé, O. Cappé, 2007, ArXiv.

Global Sampling for Sequential Filtering over Discrete State Space

Eric Moulines, Pascal Cheung-Mon-Chan, 2004, EURASIP J. Adv. Signal Process..

Subspace methods for the blind identification of multichannel FIR filters

Eric Moulines, Pierre Duhamel, Sylvie Mayrargue, 1995, IEEE Trans. Signal Process..

Inference of a Generalized Long Memory Process in the Wavelet Domain

Eric Moulines, Maurice Charbit, François Roueff, 2011, IEEE Transactions on Signal Processing.

On a perturbation approach for the analysis of stochastic tracking algorithms

Eric Moulines, Pierre Priouret, Rafik Aguech, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

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

Eric Moulines, Olivier Cappé, Marine Campedel, 2001, IEEE Trans. Speech Audio Process..

Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approach

Philippe Loubaton, Eric Moulines, Alexei Gorokhov, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Statistical Pileup Correction Method for HPGe Detectors

Eric Moulines, Thomas Trigano, François Roueff, 2007, IEEE Transactions on Signal Processing.

Spatial Prediction Under Location Uncertainty in Cellular Networks

Berna Sayraç, Sana Ben Jemaa, Gersende Fort, 2015, IEEE Transactions on Wireless Communications.

Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation

Philippe Loubaton, Eric Moulines, É. Moulines, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Statistical methods for voice quality transformation

Eric Moulines, Yannis Stylianou, Olivier Cappé, 1995, EUROSPEECH.

On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm

Gersende Fort, Eric Moulines, Philippe Soulier, 1998, COMPSTAT.

An algorithm for fast REM construction

Berna Sayraç, Sana Ben Jemaa, Eric Moulines, 2011, 2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones

Eric Moulines, Francis Charpentier, É. Moulines, 1989, Speech Commun..

Maximum likelihood blind deconvolution for sparse systems

Eric Moulines, Anna Scaglione, Steffen Barembruch, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm

Eric Moulines, Alain Durmus, É. Moulines, 2014, Statistics and Computing.

A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection

Gersende Fort, Eric Moulines, Amandine Schreck, 2013, IEEE Journal of Selected Topics in Signal Processing.

Active antenna systems for centralized self-optimization of capacity in LTE-A

Berna Sayraç, Eric Moulines, Yasir Khan, 2014, 2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

Modeling, identification, and control of large-scale dynamical systems

Alfred O. Hero, Eric Moulines, Simon Haykin, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning

Eric Moulines, Francis R. Bach, F. Bach, 2011, NIPS.

ODE methods for skip-free Markov chain stability with applications to MCMC

Gersende Fort, Eric Moulines, Pierre Priouret, 2006 .

Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models

Eric Moulines, Sylvain Le Corff, Ngoc Minh Nguyen, 2017, EURASIP J. Adv. Signal Process..

Convergence Analysis of a Stochastic Projection-free Algorithm pdf

Eric Moulines, Hoi-To Wai, Jean Lafond, 2015, ArXiv.

Subspace methods for the blind identification of multichannel FIR filters

Eric Moulines, Pierre Duhamel, Sylvie Mayrargue, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Estimations pour les modeles de Markov caches et approximations particulaires Applicationla cartographie etla localisation simultanees

Gersende Fort, Eric Moulines, M. Gilles Pag, 2012 .

Comparison of resampling schemes for particle filtering

Eric Moulines, Olivier Cappé, Randal Douc, 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..

On a Perturbation Approach for the Analysis of Stochastic Tracking Algorithms

Eric Moulines, Pierre Priouret, Rafik Aguech, 2000, SIAM J. Control. Optim..

Polynomial quasi-harmonic models for speech analysis and synthesis

Eric Moulines, Frédéric Bimbot, Olivier Cappé, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization

Eric Moulines, Hoi-To Wai, Jean Lafond, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Time-domain procedures for testing that a stationary time-series is Gaussian

Eric Moulines, Karim Choukri, É. Moulines, 1996, IEEE Trans. Signal Process..

Fixed Rank Kriging for Cellular Coverage Analysis

Berna Sayraç, Sana Ben Jemaa, Gersende Fort, 2015, IEEE Transactions on Vehicular Technology.

CLT for eigen-inference methods in cognitive radios

Eric Moulines, Jianfeng Yao, Mérouane Debbah, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Testing for Homogeneity with Kernel Fisher Discriminant Analysis

Zaïd Harchaoui, Eric Moulines, Francis R. Bach, 2007, NIPS.

Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

Eric Moulines, Alain Durmus, Marcelo Pereyra, 2016, SIAM J. Imaging Sci..

Best Sensor Selection for an Iterative REM Construction

Berna Sayraç, Sana Ben Jemaa, Eric Moulines, 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

Simplified pregnant woman models for the fetus exposure assessment

Eric Moulines, Joe Wiart, Céline Lévy-Leduc, 2013 .

Online EM for functional data

Eric Moulines, Florian Maire, Sidonie Lefebvre, 2016, Comput. Stat. Data Anal..

Subspace methods for blind identification of SIMO-FIR systems

Philippe Loubaton, Eric Moulines, Alexei Gorokhov, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

A New Approach for Mobile Localization in Multipath Scenarios

Eric Moulines, Maurice Charbit, Nadir Castañeda, 2007, 2007 IEEE International Conference on Communications.

Asymptotically invariant Gaussianity test for causal invertible time series

Eric Moulines, Roxana Ojeda, Jean-François Cardoso, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

HNS: Speech modification based on a harmonic+noise model

Eric Moulines, Yannis Stylianou, Jean Laroche, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

On blind multiuser forward link channel estimation by the subspace method: identifiability results

Philippe Loubaton, Eric Moulines, É. Moulines, 2000, IEEE Trans. Signal Process..

A projection-free decentralized algorithm for non-convex optimization

Eric Moulines, Anna Scaglione, Hoi-To Wai, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

In-variance of subspace based estimators

Eric Moulines, Jean-François Cardoso, 2000, IEEE Trans. Signal Process..

Non-parametric techniques for pitch-scale and time-scale modification of speech

Eric Moulines, Jean Laroche, É. Moulines, 1995, Speech Commun..

On the use of particle filtering for maximum likelihood parameter estimation

Eric Moulines, Olivier Cappé, O. Cappé, 2005, 2005 13th European Signal Processing Conference.

Adaptive Equi-Energy Sampler: Convergence and Illustration

Gersende Fort, Eric Moulines, Amandine Schreck, 2012, TOMC.

Classification et sélection de caractéristiques de textures. Utilisation d'algorithmes automatiques supervisés de sélection d'attributs pour la classification d'images

Eric Moulines, Marine Campedel, E. Moulines, 2005, Rev. d'Intelligence Artif..

Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization

Eric Moulines, Roland Badeau, Ali Taylan Cemgil, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models

Eric Moulines, Elisabeth Gassiat, Jean-François Cardoso, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind identification of multipath channels: a parametric subspace approach

Eric Moulines, Karim Abed-Meraim, Pierre Duhamel, 2001, IEEE Trans. Signal Process..

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

Eric Moulines, Francis R. Bach, F. Bach, 2013, NIPS.

Continuous probabilistic transform for voice conversion

Eric Moulines, Yannis Stylianou, Olivier Cappé, 1998, IEEE Trans. Speech Audio Process..

Simulation-based methods for blind maximum-likelihood filter identification

Eric Moulines, Arnaud Doucet, Olivier Cappé, 1999, Signal Process..

A subspace algorithm for certain blind identification problems

Philippe Loubaton, Eric Moulines, Karim Abed-Meraim, 1997, IEEE Trans. Inf. Theory.

A semi-blind channel estimation technique based on second-order blind method for CDMA systems

Philippe Loubaton, Eric Moulines, Samson Lasaulce, 2003, IEEE Trans. Signal Process..

A Batch-Recursive Algorithm For Passive Ground Target T racking

Eric Moulines, Maurice Charbit, Nadir Castaneda, 2007 .

Centralized self-optimization of interference management in LTE-A HetNets

Berna Sayraç, Eric Moulines, Yasir Khan, 2015, Design and Deployment of Small Cell Networks.

Recursive Em Algorithm with Applications to Doa Estimation

Eric Moulines, Olivier Cappé, Maurice Charbit, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

On subspace methods for blind identification of single-input multiple-output FIR systems

Philippe Loubaton, Eric Moulines, Karim Abed-Meraim, 1997, IEEE Trans. Signal Process..

A parametric blind subspace identification: robustness issue

Eric Moulines, Pierre Duhamel, Lisa Perros-Meilhac, 1999, IEEE Communications Letters.

Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics

Eric Moulines, Simo Särkkä, Silvere Bonnabel, 2018, 2018 IEEE Conference on Decision and Control (CDC).

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

Simon J. Godsill, Eric Moulines, Olivier Cappé, 2007, Proceedings of the IEEE.

Kernel-Based Methods for Hypothesis Testing: A Unified View

Zaïd Harchaoui, Eric Moulines, Francis R. Bach, 2013, IEEE Signal Processing Magazine.

A propos de l'utilisation des méthodes de Monte Carlo séquentielles pour l'estimation de paramètres dans les modèles de Markov cachés

Eric Moulines, Olivier Cappé, Olivier Cappé, 2005 .

On Perturbed Proximal Gradient Algorithms

Gersende Fort, Eric Moulines, Yves F. Atchadé, 2014, J. Mach. Learn. Res..

Identification de reponses impulsionnelles longues par gradient stochastique frequentiel

Eric Moulines, Yves Grenier, O. Ait Amrane, 1991 .

Detecting aircraft with a low resolution infrared sensor

Eric Moulines, Jérémie Jakubowicz, Florian Maire, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Minimum constrast estimation with applications to array processing

Eric Moulines, Jean-François Cardoso, É. Moulines, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Adaptive methods for sequential importance sampling with application to state space models

Eric Moulines, Julien Cornebise, Jimmy Olsson, 2008, 2008 16th European Signal Processing Conference.

The promises and pitfalls of Stochastic Gradient Langevin Dynamics

Eric Moulines, Alain Durmus, Nicolas Brosse, 2018, NeurIPS.

On the LP-convergence of a Girsanov theorem based particle filter

Eric Moulines, Simo Särkkä, É. Moulines, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On adaptive stratification

Gersende Fort, Eric Moulines, Benjamin Jourdain, 2011, Ann. Oper. Res..

On parallel implementation of sequential Monte Carlo methods: the island particle model

Eric Moulines, Pierre Del Moral, Christelle Vergé, 2013, Stat. Comput..

A simulated annealing version of the EM algorithm for non-Gaussian deconvolution

Eric Moulines, Marc Lavielle, É. Moulines, 1997, Stat. Comput..

Adaptive sequential Monte Carlo by means of mixture of experts

Eric Moulines, Julien Cornebise, Jimmy Olsson, 2011, Stat. Comput..

Low complexity spatial interpolation for cellular coverage analysis

Berna Sayraç, Sana Ben Jemaa, Gersende Fort, 2014, 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

Prediction error method for second-order blind identification

Philippe Loubaton, Eric Moulines, Karim Abed-Meraim, 1997, IEEE Trans. Signal Process..

The expectation and sparse maximization algorithm

Eric Moulines, Anna Scaglione, Steffen Barembruch, 2010, Journal of Communications and Networks.

Méthodologie de sélection de caractéristiques pour la classification d'images satellitaires

Eric Moulines, Marine Campedel, E. Moulines, 2005, CAP.

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme

Eric Moulines, Hoi-To Wai, Belhal Karimi, 2019, COLT.

An online learning algorithm for mixture models of deformable templates

Eric Moulines, Randal Douc, Florian Maire, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames

Eric Moulines, Julie Josse, Hoi-To Wai, 2018, NeurIPS.

Blind knowledge based algorithms based on second order statistics

Eric Moulines, Pierre Duhamel, Lisa Perros-Meilhac, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Asymptotic performance analysis of direction-finding algorithms based on fourth-order cumulants

Eric Moulines, Jean-François Cardoso, É. Moulines, 1995, IEEE Trans. Signal Process..

Energy Spectrum Reconstruction for HPGe Detectors Using Analytical Pile-Up Correction

Eric Moulines, Thomas Trigano, François Roueff, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

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

Eric Moulines, Olivier Cappé, Alexei Gorokhov, 2000, IEEE Trans. Signal Process..

Maximum likelihood estimation of a low-order building model

Eric Moulines, François Roueff, Alexandre Girard, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Sequential design of computer experiments for parameter estimation with application to numerical dosimetry

Eric Moulines, Joe Wiart, Céline Lévy-Leduc, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

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

Eric Moulines, Chafic Mokbel, Denis Jouvet, 1998, IEEE Trans. Speech Audio Process..

OPTIMIZING THERMAL COMFORT AND ENERGY CONSUMPTION IN A LARGE BUILDING WITHOUT RENOVATION WORK

Eric Moulines, Alain Champagne, Maurice Charbit, 2018, 2018 IEEE Data Science Workshop (DSW).

The generalized multidelay adaptive filter: structure and convergence analysis

Eric Moulines, Yves Grenier, Omar Ait Amrane, 1995, IEEE Trans. Signal Process..

Source Localization from Quantized Time of Arrival Measurements

Eric Moulines, Maurice Charbit, Nadir Castañeda, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability

Eric Moulines, Alain Durmus, Gareth O. Roberts, 2017, J. Appl. Probab..

Centralized self-optimization in LTE-A using Active Antenna Systems

Berna Sayraç, Eric Moulines, Yasir Khan, 2013, 2013 IFIP Wireless Days (WD).

Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields

Eric Moulines, Joe Wiart, Céline Lévy-Leduc, 2016, Technometrics.

Ex2MCMC: Sampling through Exploration Exploitation pdf

Eric Moulines, Denis Belomestny, Alexey Naumov, 2021, ArXiv.

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize pdf

Eric Moulines, Alain Durmus, Hoi-To Wai, 2021, NeurIPS.

Monte Carlo Variational Auto-Encoders

Eric Moulines, Arnaud Doucet, Alain Durmus, 2021, ICML.

On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning

Eric Moulines, Alain Durmus, Hoi-To Wai, 2021, COLT.

NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform

Eric Moulines, Arnaud Doucet, Alain Durmus, 2021 .

A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty

Enrico Zio, Piero Baraldi, Eric Moulines, 2021, Chemical Engineering Journal.

QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning pdf

Eric Moulines, Alain Durmus, Aymeric Dieuleveut, 2021, ArXiv.

Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains

Eric Moulines, Alain Durmus, Alexey Naumov, 2021 .

The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds

Gersende Fort, Eric Moulines, 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP).

Federated Expectation Maximization with heterogeneity mitigation and variance reduction pdf

Gersende Fort, Eric Moulines, Aymeric Dieuleveut, 2021, ArXiv.

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm pdf

Eric Moulines, Alain Durmus, Maxime Vono, 2021, ICML.

The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning

Gersende Fort, Eric Moulines, 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP).

Semidefinite positive relaxation of the maximum-likelihood criterion applied to multiuser detection in a CDMA context

Eric Moulines, Alexandre Jard, Moussa Abdi, 2002, IEEE Signal Processing Letters.

Asymptotic properties of U-processes under long-range dependence

Eric Moulines, Murad S. Taqqu, C'eline L'evy-Leduc, 2009, 0912.4688.

Testing that a multivariate stationary time-series is Gaussian

Eric Moulines, Karim Choukri, É. Moulines, 1992, [1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing.

Decentralized Projection-free Optimization for Convex and Non-convex Problems.

Eric Moulines, Anna Scaglione, Hoi-To Wai, 2016 .

Large sample behaviour of some well-known robust estimators under long-range dependence

Eric Moulines, Céline Lévy-Leduc, Murad S. Taqqu, 2011 .

SECOND-ORDER VERSUS FOURTH-ORDER MUSIC ALGORITHMS : AN ASYMPTOTICAL STATISTICAL ANALYSIS

Eric Moulines, É. Moulines, 1991 .

Nonparametric inference of photon energy distribution from indirect measurement

Eric Moulines, Thomas Trigano, Antoine Souloumiac, 2005 .

Improving the Performance of the Two-Stage Sampling Particle Filter: A Statistical Perspective

Eric Moulines, Jimmy Olsson, Randal Douc, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

On the auxiliary particle filter

Eric Moulines, Jimmy Olsson, Randal Douc, 2007, 0709.3448.

Dicussion on the meeting on ‘Statistical approaches to inverse problems’

Simon J. Godsill, Dan Cornford, Eric Moulines, 2004 .

A wavelet whittle estimator of the memory parameter of a nonstationary Gaussian time series

Eric Moulines, Murad S. Taqqu, Franccois Roueff, 2008 .

Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context

Eric Moulines, Céline Lévy-Leduc, Olaf Kouamo, 2007, 1011.4370.

FEATURE SELECTION FOR SATELLITE IMAGE INDEXING

Eric Moulines, Mihai Datcu, Henri Matre, 2005 .

Non-convex Optimization with Frank-Wolfe Algorithm and Its Variants

Eric Moulines, Hoi-To Wai, É. Moulines, 2016 .

Convergence of a stochastic approximation version of the EMalgorithmMarc Lavielle

Eric Moulines, 1997 .

Data Driven Order Selection for Projection Estimator of the Spectral Density of Time Series with Long Range Dependence

Eric Moulines, Philippe Soulier, É. Moulines, 2000 .

Inference in Hid-den Markov Models

Eric Moulines, Eric Moulines, Olivier Cappé, 2005 .

Computable convergence rates for sub-geometric ergodic Markov chains

Eric Moulines, Randal Douc, Philippe Soulier, 2007 .

On the Convergence of the Monte Carlo Maximum Likelihood Method for Latent Variable Models

Eric Moulines, Christian P. Robert, Olivier Cappé, 2002 .

Sequential Monte Carlo smoothing with estimation in non-linear state space models

Eric Moulines, Olivier Cappé, Jimmy Olsson, 2006 .

Forgetting the initial distribution for Hidden Markov Models

Gersende Fort, Eric Moulines, Pierre Priouret, 2007 .

Fast Incremental Expectation Maximization for non-convex finite-sum optimization: non asymptotic convergence bounds *

Gersende Fort, Eric Moulines, P. Gach, 2020 .

Estimators of Long-Memory: Fourier versus Wavelets

Eric Moulines, Murad S. Taqqu, Franccois Roueff, 2008, 0801.4329.

A Maximum Likelihood Solution to Doa Estimation for Discrete Sources

Eric Moulines, Jean-Francois Cardoso, M. Lavielle, 1994, IEEE Seventh SP Workshop on Statistical Signal and Array Processing.

Adaptive estimation of the fractional differencing coefficient

Eric Moulines, Philippe Soulier, É. Moulines, 2001 .

Asymptotic properties of quasi-maximum likelihood estimators in observation-driven time series models

Eric Moulines, Randal Douc, Konstantinos Fokianos, 2017 .

Convergence Of The Monte Carlo EM For Curved Exponential Families

Gersende Fort, Eric Moulines, É. Moulines, 2000 .

The FEXP estimator for potentially non-stationary linear time series

Eric Moulines, Philippe Soulier, Clifford M. Hurvich, 2002 .

Diffusion approximations and control variates for MCMC

Eric Moulines, Sean P. Meyn, Alain Durmus, 2018, 1808.01665.

Convergence of the Monte Carlo expectation maximization for curved exponential families

Gersende Fort, Eric Moulines, É. Moulines, 2003 .

An Experimental Evaluation of Reinforcement Learning for Gain Scheduling

Eric Moulines, Olivier Teytaud, Alessandra Russo, 2003, HIS.

Adaptive parallel tempering algorithm

Eric Moulines, Matti Vihola, Blazej Miasojedow, 2012, 1205.1076.

Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context

Eric Moulines, Olaf Kouamo, C'eline L'evy-Leduc, 2007 .

The ODE method for stability of skip-free Markov chains with applications to MCMC

Gersende Fort, Eric Moulines, Pierre Priouret, 2006, math/0607800.

Unifying mirror descent and dual averaging pdf

Eric Moulines, Anatoli B. Juditsky, Joon Kwon, 2019, ArXiv.

Scaling Analysis of Delayed Rejection MCMC Methods

Eric Moulines, Randal Douc, Mylène Bédard, 2014 .

Frequency-domain adaptive filtering with applications to acoustic echo cancellation

Eric Moulines, É. Moulines, J. Prado, 1994 .

Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator

Eric Moulines, Randal Douc, Paul Doukhan, 2012, 1210.4739.

Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees

Eric Moulines, Christophe Andrieu, Alain Durmus, 2020, 2012.15550.

Nonparametric estimation of mark's distribution of an exponential Shot-noise process

Eric Moulines, Antoine Souloumiac, Franccois Roueff, 2015, 1506.08047.

A New Approach for Mobile Localization in

Eric Moulines, Eric Moulines, Maurice Charbit, 2007 .

Scaling analysis of multiple-try MCMC methods

Eric Moulines, Randal Douc, Mylène Bédard, 2012 .