Eric Moulines
Orcid: 0000-0002-2058-0693
According to our database1,
Eric Moulines
authored at least 226 papers
between 1987 and 2024.
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Bibliography
2024
SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning.
CoRR, 2024
2023
Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization.
Stat. Comput., June, 2023
IEEE Trans. Signal Process., 2023
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery Through Fine-Tuning of Object Detection Models.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes.
Proceedings of the Conference on Lifelong Learning Agents, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau.
SIAM Rev., 2022
Variance reduction for additive functionals of Markov chains via martingale representations.
Stat. Comput., 2022
Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation.
CoRR, 2022
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study.
CoRR, 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Computing in Cardiology, 2022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case.
SIAM J. Math. Data Sci., 2021
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence.
Stat. Comput., 2021
Variance Reduction for Dependent Sequences with Applications to Stochastic Gradient MCMC.
SIAM/ASA J. Uncertain. Quantification, 2021
Federated Expectation Maximization with heterogeneity mitigation and variance reduction.
CoRR, 2021
Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics.
CoRR, 2021
CoRR, 2021
The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning.
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
SIAM J. Control. Optim., 2020
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models.
Comput. Stat. Data Anal., 2020
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm.
CoRR, 2020
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference.
CoRR, 2020
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation.
CoRR, 2020
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations.
Proceedings of the 37th International Conference on Machine Learning, 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.
Proceedings of the Conference on Learning Theory, 2020
2019
J. Multivar. Anal., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Conference on Learning Theory, 2019
2018
Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau.
SIAM J. Imaging Sci., 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work.
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
IEEE Trans. Autom. Control., 2017
MCMC design-based non-parametric regression for rare event. Application to nested risk computations.
Monte Carlo Methods Appl., 2017
Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability.
J. Appl. Probab., 2017
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models.
EURASIP J. Adv. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo.
Proceedings of the 30th Conference on Learning Theory, 2017
2016
IEEE Trans. Wirel. Commun., 2016
Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields.
Technometrics, 2016
SIAM J. Control. Optim., 2016
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection.
IEEE J. Sel. Top. Signal Process., 2016
CoRR, 2016
Considering spatial information to improve anomaly detection in heterogeneous hyperspectral images.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
On parallel implementation of sequential Monte Carlo methods: the island particle model.
Stat. Comput., 2015
Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm.
Stat. Comput., 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the Design and Deployment of Small Cell Networks, 2015
2014
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014
Proceedings of the 2014 IEEE Wireless Communications and Networking Conference Workshops, 2014
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
ACM Trans. Model. Comput. Simul., 2013
IEEE Signal Process. Mag., 2013
Mach. Vis. Appl., 2013
Proceedings of the IFIP Wireless Days, 2013
Surrogate Based Centralized Automated Optimization Applied to LTE Mobility Load Balancing.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013
Surrogate Based Centralized SON: Application to Interference Mitigation in LTE-A HetNets.
Proceedings of the 77th IEEE Vehicular Technology Conference, 2013
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
IEEE Trans. Image Process., 2012
Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements.
Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks: operations, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Sequential design of computer experiments for parameter estimation with application to numerical dosimetry.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
IEEE Trans. Signal Process., 2011
Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples.
IEEE Trans. Inf. Theory, 2011
Proceedings of the 74th IEEE Vehicular Technology Conference, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
2010
CoRR, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
On approximate maximum-likelihood methods for blind identification: how to cope with the curse of dimensionality.
IEEE Trans. Signal Process., 2009
Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples
CoRR, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Adaptive methods for sequential importance sampling with application to state space models.
Stat. Comput., 2008
Proceedings of the IEEE International Conference on Wireless and Mobile Computing, 2008
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008
Proceedings of the IEEE 19th International Symposium on Personal, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
2007
IEEE Trans. Signal Process., 2007
Proc. IEEE, 2007
J. Commun., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of IEEE International Conference on Communications, 2007
2006
Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006
Energy Spectrum Reconstruction for HPGe Detectors Using Analytical Pile-Up Correction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
SIAM J. Control. Optim., 2005
Classification et sélection de caractéristiques de textures. Utilisation d'algorithmes automatiques supervisés de sélection d'attributs pour la classification d'images.
Rev. d'Intelligence Artif., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Méthodologie de sélection de caractéristiques pour la classification d'images satellitaires.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
Inference in hidden Markov models.
Springer series in statistics, Springer, ISBN: 978-0-387-40264-2, 2005
2004
EURASIP J. Adv. Signal Process., 2004
2003
A semi-blind channel estimation technique based on second-order blind method for CDMA systems.
IEEE Trans. Signal Process., 2003
2002
IEEE Signal Process. Mag., 2002
Semidefinite positive relaxation of the maximum-likelihood criterion applied to multiuser detection in a CDMA context.
IEEE Signal Process. Lett., 2002
2001
IEEE Trans. Signal Process., 2001
Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach.
IEEE Trans. Speech Audio Process., 2001
Proceedings of the 54th IEEE Vehicular Technology Conference, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
On blind multiuser forward link channel estimation by the subspace method: identifiability results.
IEEE Trans. Signal Process., 2000
IEEE Trans. Signal Process., 2000
SIAM J. Control. Optim., 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Signal Process., 1999
IEEE Commun. Lett., 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
IEEE Trans. Speech Audio Process., 1998
An algorithm for maximum likelihood estimation of hidden Markov models with unknown state-tying.
IEEE Trans. Speech Audio Process., 1998
Ann. des Télécommunications, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the COMPSTAT 1998, 1998
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.
Proceedings of the COMPSTAT 1998, 1998
Proceedings of the Broadband Communications: The future of telecommunications, 1998
1997
IEEE Trans. Signal Process., 1997
IEEE Trans. Signal Process., 1997
On subspace methods for blind identification of single-input multiple-output FIR systems.
IEEE Trans. Signal Process., 1997
IEEE Trans. Inf. Theory, 1997
Subspace method for blind identification of multichannel FIR systems in noise field with unknown spatial covariance.
IEEE Signal Process. Lett., 1997
Stat. Comput., 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
IEEE Trans. Signal Process., 1996
IEEE Signal Process. Lett., 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approach.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1995
IEEE Trans. Signal Process., 1995
IEEE Trans. Signal Process., 1995
Asymptotic performance analysis of direction-finding algorithms based on fourth-order cumulants.
IEEE Trans. Signal Process., 1995
Speech Commun., 1995
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
Prediction error methods for time-domain blind identification of multichannel FIR filters.
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
IEEE Trans. Signal Process., 1994
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
Proceedings of the IEEE International Conference on Acoustics, 1993
Proceedings of the IEEE International Conference on Acoustics, 1993
1992
Direction finding algorithms using fourth order statistics: asymptotic performance analysis.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
Proceedings of the Second European Conference on Speech Communication and Technology, 1991
1990
Detection of the glottal closure by jumps in the statistical properties of the speech signal.
Speech Commun., 1990
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones.
Speech Commun., 1990
Proceedings of the 1990 International Conference on Acoustics, 1990
1989
Detection of the glottal closure by jumps in the statistical properties of the signal.
Proceedings of the First European Conference on Speech Communication and Technology, 1989
Proceedings of the IEEE International Conference on Acoustics, 1989
1988
Proceedings of the IEEE International Conference on Acoustics, 1988
1987
Proceedings of the European Conference on Speech Technology, 1987