Éric Moulines

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Éric Moulines is affiliated with the following schools: Higher School of Economics, Polytechnic Institute of Paris

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Why Is Éric Moulines Influential?

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According to Wikipedia, Éric Moulines is a French researcher in statistical learning and signal processing. He received the silver medal from the CNRS in 2010, 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. He is General Engineer of the Corps des Mines .

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Éric Moulines's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A blind source separation technique using second-order statistics (1997) (2693)
Subspace methods for the blind identification of multichannel FIR filters (1994) (1659)
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones (1989) (1554)
Inference in hidden Markov models (2010) (1317)
Continuous probabilistic transform for voice conversion (1998) (1114)
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo (2007) (1039)
Comparison of resampling schemes for particle filtering (2005) (947)
Convergence of a stochastic approximation version of the EM algorithm (1999) (779)
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning (2011) (652)
Log-Periodogram Regression Of Time Series With Long Range Dependence (1999) (610)
Voice transformation using PSOLA technique (1991) (415)
Inference in Hidden Markov Models (Springer Series in Statistics) (2005) (414)
On‐line expectation–maximization algorithm for latent data models (2009) (411)
On Upper-Confidence Bound Policies for Switching Bandit Problems (2011) (374)
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) (2013) (364)
Non-parametric techniques for pitch-scale and time-scale modification of speech (1995) (340)
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm (2015) (305)
A subspace algorithm for certain blind identification problems (1997) (301)
Least‐squares Estimation of an Unknown Number of Shifts in a Time Series (2000) (293)
Prediction error method for second-order blind identification (1997) (285)
High-dimensional Bayesian inference via the unadjusted Langevin algorithm (2016) (264)
Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime (2004) (246)
Stability of Stochastic Approximation under Verifiable Conditions (2005) (233)
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models (1997) (229)
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems (2008) (229)
HNS: Speech modification based on a harmonic+noise model (1993) (178)
Kernel Change-point Analysis (2008) (173)
Practical drift conditions for subgeometric rates of convergence (2004) (168)
A diphone synthesis system based on time-domain prosodic modifications of speech (1989) (165)
Nonlinear Time Series: Theory, Methods and Applications with R Examples (2014) (159)
Sequential Monte Carlo smoothing for general state space hidden Markov models (2011) (159)
Broadband log-periodogram regression of time series with long-range dependence (1999) (156)
Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models (2006) (155)
High-quality speech modification based on a harmonic + noise model (1995) (149)
Online EM Algorithm for Latent Data Models (2007) (146)
On subspace methods for blind identification of single-input multiple-output FIR systems (1997) (143)
Convergence of the Monte Carlo expectation maximization for curved exponential families (2003) (142)
Statistical methods for voice quality transformation (1995) (135)
Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau (2016) (133)
Long-range dependence and heavy-tail modeling for teletraffic data (2002) (130)
Estimating Long Memory in Volatility (2002) (129)
Second Order Blind Separation of Temporally Correlated Sources (1993) (121)
CONSISTENCY OF THE MAXIMUM LIKELIHOOD ESTIMATOR FOR GENERAL HIDDEN MARKOV MODELS (2009) (113)
The generalized multidelay adaptive filter: structure and convergence analysis (1995) (112)
Asymptotic performance analysis of direction-finding algorithms based on fourth-order cumulants (1995) (112)
Testing for Homogeneity with Kernel Fisher Discriminant Analysis (2007) (110)
Quantitative bounds on convergence of time-inhomogeneous Markov chains (2004) (105)
On the Spectral Density of the Wavelet Coefficients of Long‐Memory Time Series with Application to the Log‐Regression Estimation of the Memory Parameter (2005) (104)
Prediction error methods for time-domain blind identification of multichannel FIR filters (1995) (102)
Informed spectrum usage in cognitive radio networks: Interference cartography (2008) (102)
Convergence of adaptive and interacting Markov chain Monte Carlo algorithms (2011) (97)
Estimators of Long-Memory: Fourier versus Wavelets (2008) (96)
An Adaptive Parallel Tempering Algorithm (2012) (92)
On parallel implementation of sequential Monte Carlo methods: the island particle model (2013) (89)
Adaptive methods for sequential importance sampling with application to state space models (2008) (89)
Wavelet Estimator of Long-Range Dependent Processes (2000) (88)
On Perturbed Proximal Gradient Algorithms (2014) (88)
Regularized estimation of cepstrum envelope from discrete frequency points (1995) (80)
A wavelet whittle estimator of the memory parameter of a nonstationary Gaussian time series (2006) (79)
Regularization techniques for discrete cepstrum estimation (1996) (77)
On the performance of semi-blind subspace-based channel estimation (2000) (70)
Polynomial ergodicity of Markov transition kernels (2003) (68)
Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems (2016) (68)
Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator (2012) (67)
On recursive estimation for time varying autoregressive processes (2005) (67)
On the convergence of Hamiltonian Monte Carlo (2017) (64)
On blind multiuser forward link channel estimation by the subspace method: identifiability results (2000) (63)
Optimality of the auxiliary particle filter (2009) (60)
Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approach (1996) (60)
Kernel-Based Methods for Hypothesis Testing: A Unified View (2013) (58)
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo (2017) (58)
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme (2019) (57)
Scaling analysis of multiple-try MCMC methods (2012) (56)
Bayesian Time Series Models: Adaptive Markov chain Monte Carlo: theory and methods (2011) (56)
Sampling from a strongly log-concave distribution with the Unadjusted Langevin Algorithm (2016) (56)
The promises and pitfalls of Stochastic Gradient Langevin Dynamics (2018) (55)
V-Subgeometric ergodicity for a Hastings–Metropolis algorithm (2000) (55)
On the geometric ergodicity of hybrid samplers (2003) (53)
The tamed unadjusted Langevin algorithm (2017) (53)
Forgetting the initial distribution for Hidden Markov Models (2007) (53)
HNM: a simple, efficient harmonic+noise model for speech (1993) (52)
Time-Domain and Frequency-Domain Techniques for Prosodic Modification of Speech (1995) (50)
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise (2020) (50)
Long-term stability of sequential Monte Carlo methods under verifiable conditions (2012) (49)
Robust estimation of the scale and of the autocovariance function of Gaussian short‐ and long‐range dependent processes (2009) (46)
Uniform Ergodicity of the Particle Gibbs Sampler (2014) (46)
On stochastic proximal gradient algorithms (2014) (46)
A real-time French text-to-speech system generating high-quality synthetic speech (1990) (44)
Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context (2007) (40)
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection (2013) (40)
A simulated annealing version of the EM algorithm for non-Gaussian deconvolution (1997) (40)
Analysis of nonsmooth stochastic approximation: the differential inclusion approach (2018) (39)
The FEXP estimator for potentially non-stationary linear time series (2002) (39)
Semidefinite positive relaxation of the maximum-likelihood criterion applied to multiuser detection in a CDMA context (2002) (38)
Asymptotic properties of U-processes under long-range dependence (2009) (37)
Probabilistic low-rank matrix completion on finite alphabets (2014) (37)
Frequency-domain adaptive filtering with applications to acoustic echo cancellation (1994) (36)
Computable convergence rates for sub-geometric ergodic Markov chains (2007) (36)
Adaptive Multinomial Matrix Completion (2014) (36)
Price Jump Prediction in Limit Order Book (2011) (36)
Asymptotic properties of the maximum likelihood estimation in misspecified Hidden Markov models (2011) (36)
Blind identification of multipath channels: a parametric subspace approach (2001) (36)
Fixed Rank Kriging for Cellular Coverage Analysis (2015) (35)
Time-domain procedures for testing that a stationary time-series is Gaussian (1996) (35)
Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach (2001) (35)
State of the Art in Acoustic Echo Cancellation (1996) (33)
Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm (2015) (33)
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo (2016) (33)
Bounds on regeneration times and limit theorems for subgeometric Markov chains (2006) (32)
On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations (2015) (32)
ON THE FORWARD FILTERING BACKWARD SMOOTHING PARTICLE APPROXIMATIONS OF THE SMOOTHING DISTRIBUTION IN GENERAL STATE SPACES MODELS (2009) (31)
Subspace methods for blind identification of SIMO-FIR systems (1996) (31)
Subspace method for blind identification of multichannel FIR systems in noise field with unknown spatial covariance (1997) (31)
Simulation-based methods for blind maximum-likelihood filter identification (1999) (30)
On the use of particle filtering for maximum likelihood parameter estimation (2005) (28)
Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements (2012) (28)
Data Driven Order Selection for Projection Estimator of the Spectral Density of Time Series with Long Range Dependence (2000) (28)
Low complexity spatial interpolation for cellular coverage analysis (2014) (27)
MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means (2018) (27)
A REM enabled soft frequency reuse scheme (2010) (26)
Blocking strategies and stability of particle Gibbs samplers (2015) (26)
On adaptive stratification (2008) (25)
Subgeometric rates of convergence in Wasserstein distance for Markov chains (2014) (25)
Scaling Analysis of Delayed Rejection MCMC Methods (2014) (25)
Interference Cartography for Hierarchical Dynamic Spectrum Access (2008) (24)
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation (2020) (24)
Variance reduction for Markov chains with application to MCMC (2019) (24)
Adaptive estimation of the fractional differencing coefficient (2001) (24)
Text-to-speech algorithms based on FFT synthesis (1988) (23)
Unifying mirror descent and dual averaging (2019) (23)
Dynamic spectrum access with non-stationary Multi-Armed Bandit (2008) (23)
Quantitative bounds for geometric convergence rates of Markov Chains (2002) (23)
On the Convergence of the Monte Carlo Maximum Likelihood Method for Latent Variable Models (2002) (22)
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods (2019) (22)
Monte Carlo Variational Auto-Encoders (2021) (22)
On a perturbation approach for the analysis of stochastic tracking algorithms (1998) (22)
Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics (2014) (21)
Quasi-Newton method for maximum likelihood estimation of hidden Markov models (1998) (21)
Online Expectation Maximization algorithm to solve the SLAM problem (2011) (21)
Convergence properties of weighted particle islands with application to the double bootstrap algorithm (2014) (20)
Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models (2018) (19)
Asymptotic performance of second order blind separation (1994) (19)
Asymptotic properties of quasi-maximum likelihood estimators in observation-driven time series models (2017) (19)
Direction finding algorithms using fourth order statistics: asymptotic performance analysis (1992) (19)
Diffusion approximations and control variates for MCMC (2018) (19)
On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality (2009) (19)
A semi-blind channel estimation technique based on second-order blind method for CDMA systems (2003) (19)
Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields (2016) (18)
Large sample behaviour of some well-known robust estimators under long-range dependence (2011) (18)
An algorithm for fast REM construction (2011) (18)
Detection of the glottal closure by jumps in the statistical properties of the speech signal (1990) (18)
Spatial Prediction Under Location Uncertainty in Cellular Networks (2015) (18)
Dicussion on the meeting on ‘Statistical approaches to inverse problems’ (2004) (18)
SECOND-ORDER VERSUS FOURTH-ORDER MUSIC ALGORITHMS : AN ASYMPTOTICAL STATISTICAL ANALYSIS (1991) (17)
In-variance of subspace based estimators (2000) (17)
The ODE method for stability of skip-free Markov chains with applications to MCMC (2006) (17)
Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach (2007) (17)
Main Effects and Interactions in Mixed and Incomplete Data Frames (2018) (17)
Convergence Of The Monte Carlo EM For Curved Exponential Families (2000) (17)
Statistical Pileup Correction Method for HPGe Detectors (2007) (16)
Coverage mapping using spatial interpolation with field measurements (2014) (16)
D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization (2016) (16)
FEATURE SELECTION FOR SATELLITE IMAGE INDEXING (2005) (16)
Testing that a stationary time-series is Gaussian: time-domain vs. frequency-domain approaches (1993) (15)
A robustness property of DOA estimators based on covariance (1994) (15)
Inference in Hid-den Markov Models (2005) (15)
Recursive Em Algorithm with Applications to Doa Estimation (2006) (15)
A Near Optimal Policy for Channel Allocation in Cognitive Radio (2008) (15)
Nonlinear functionals of the periodogram (2002) (14)
On Stability of a Class of Filters for Nonlinear Stochastic Systems (2018) (14)
Recursive computation of the score and observed information matrix in hidden markov models (2005) (13)
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning (2021) (13)
Convergence Analysis of a Stochastic Projection-free Algorithm (2015) (12)
Forgetting of the initial distribution for nonergodic Hidden Markov Chains (2008) (12)
A Maximum Likelihood Solution to Doa Estimation for Discrete Sources (1994) (12)
Asymptotically invariant Gaussianity test for causal invertible time series (1997) (12)
An algorithm for maximum likelihood estimation of hidden Markov models with unknown state-tying (1998) (12)
A central limit theorem for adaptive and interacting Markov chains (2011) (12)
Semi Dynamic Parameter Tuning for Optimized Opportunistic Spectrum Access (2008) (12)
Adaptive sequential Monte Carlo by means of mixture of experts (2011) (11)
Adaptive Equi-Energy Sampler: Convergence and Illustration (2012) (11)
Best Sensor Selection for an Iterative REM Construction (2011) (11)
MCMC design-based non-parametric regression for rare event. Application to nested risk computations (2017) (11)
Turbo multiuser detection for coded DS-CDMA systems: a Gibbs sampling approach (2000) (11)
Training-based channel estimation and de-noising for the UMTS TDD mode (2001) (11)
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference (2020) (11)
Convergence of a stochastic approximation version of the EMalgorithmMarc Lavielle (1997) (11)
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning (2021) (11)
On the properties of the periodogram of a stationary long‐memory process over different epochs with applications (2010) (10)
Detecting aircraft with a low resolution infrared sensor (2012) (10)
Blind knowledge based algorithms based on second order statistics (1999) (10)
A projection-free decentralized algorithm for non-convex optimization (2016) (10)
Optimization of Radio Measurements Exploitation in Wireless Mobile Networks (2007) (10)
Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation (1999) (10)
Fast and privacy preserving distributed low-rank regression (2017) (9)
Centralized self-optimization of pilot powers for load balancing in LTE (2013) (9)
Surrogate Based Centralized SON: Application to Interference Mitigation in LTE-A HetNets (2013) (9)
On the two-filter approximations of marginal smoothing distributions in general state-space models (2016) (9)
Irreducibility and geometric ergodicity of Hamiltonian Monte Carlo (2020) (9)
Aircraft classification with a low resolution infrared sensor (2011) (9)
Edgeworth expansions for linear statistics of possibly long-range-dependent linear processes (2004) (9)
Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability (2016) (9)
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm (2021) (9)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize (2021) (9)
Nonparametric inference of photon energy distribution from indirect measurement (2005) (9)
Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics (2021) (9)
Source Localization from Quantized Time of Arrival Measurements (2006) (8)
Spectral envelope estimation using a penalized likelihood criterion (1997) (8)
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform (2021) (8)
Convergence Analysis of Riemannian Stochastic Approximation Schemes (2020) (8)
A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty (2021) (8)
Detection of the glottal closure by jumps in the statistical properties of the signal (1989) (8)
Robust estimation of the spectral envelope for "harmonics+noise" models (1997) (8)
Nonparametric estimation of mark's distribution of an exponential Shot-noise process (2015) (8)
Testing for homogeneity of variance in the wavelet domain. (2011) (8)
Testing that a multivariate stationary time-series is Gaussian (1992) (8)
A parametric blind subspace identification: robustness issue (1999) (8)
High-quality prosodic modifications of speech using time-domain overlap-add synthesis (1989) (8)
Opportunistic Spectrum Access: Online Search of Optimality (2008) (8)
Centralized self-optimization in LTE-A using Active Antenna Systems (2013) (7)
Exploiting Radio Measurements in Wireless Mobile Networks with Advanced Signal Processing (2007) (7)
Low-rank model with covariates for count data with missing values (2019) (7)
ODE methods for skip-free Markov chain stability with applications to MCMC (2006) (7)
Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization (2017) (7)
Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples (2011) (7)
CLT for eigen-inference methods in cognitive radios (2011) (7)
On the auxiliary particle filter (2007) (7)
Detection of periodic signals in brain echo-planar functional images (1996) (6)
Variance Reduction for Dependent Sequences with Applications to Stochastic Gradient MCMC (2020) (6)
How Much More DOA Information In Higher-order Statistics ? (1994) (6)
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence (2020) (6)
Frequency estimation based on the cumulated Lomb–Scargle periodogram (2007) (6)
FedPop: A Bayesian Approach for Personalised Federated Learning (2022) (6)
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm (2020) (6)
Rates of Convergence of Perturbed FISTA-based algorithms (2019) (6)
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size (2021) (6)
On optimal sampling for particle filtering in digital communication (2008) (6)
Rates of convergence for density estimation with GANs (2021) (6)
A sparse EM algorithm for blind and semi-blind identification of doubly selective OFDM channels (2010) (6)
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames (2018) (6)
Computable Convergence Rates for Subgeometrically Ergodic Markov Chains (2005) (6)
Performance of a semi-blind receiver for the uplink of the UMTS TDD mode (1999) (6)
OPTIMIZING THERMAL COMFORT AND ENERGY CONSUMPTION IN A LARGE BUILDING WITHOUT RENOVATION WORK (2018) (5)
Recent advances on the semi-parametric estimation of the long-range dependence coefficient (1998) (5)
Corrigendum to "Estimating Long Memory in Volatility" (2008) (5)
A simple variance inequality for U-statistics of a Markov chain with applications ✩ (2011) (5)
Low-delay frequency domain LMS algorithm (1992) (5)
A parametric subspace-based blind estimation of a SIMO-FIR with unknown channel order (1999) (5)
Variance reduction for MCMC methods via martingale representations (2019) (5)
Diffusion bridges vector quantized variational autoencoders (2022) (5)
A quantitative McDiarmid’s inequality for geometrically ergodic Markov chains (2019) (5)
Modeling, identification, and control of large-scale dynamical systems (2005) (5)
ODE methods for Markov chain stability with applications to MCMC (2006) (4)
Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation (2022) (4)
Global Sampling for Sequential Filtering over Discrete State Space (2003) (4)
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses (2022) (4)
LARGE SAMPLE BEHAVIOR OF SOME WELL-KNOWN ROBUST ESTIMATORS UNDER LONG-RANGE DEPENDENCE (2010) (4)
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm (2020) (4)
Online EM for functional data (2016) (4)
The expectation and sparse maximization algorithm (2010) (4)
On approximate maximum likelihood methods for blind identification: How to copewith the curse of dimensionality (2008) (4)
Active antenna systems for centralized self-optimization of capacity in LTE-A (2014) (4)
A locally stationary semi-Markovian representation for ethernet LAN traffic data (1998) (4)
Decentralized Projection-free Optimization for Convex and Non-convex Problems. (2016) (4)
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics (2018) (4)
Maximum likelihood blind deconvolution for sparse systems (2010) (4)
On the Convergence Properties of the Mini-Batch EM and MCEM Algorithms (2019) (4)
Sequential Monte Carlo smoothing with estimation in non-linear state space models (2006) (4)
Sequential design of computer experiments for parameter estimation with application to numerical dosimetry (2012) (4)
Federated-EM with heterogeneity mitigation and variance reduction (2021) (4)
Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization (2020) (4)
A new bearings-only tracking algorithm for ground moving targets constrained to roads (2007) (4)
Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples (2009) (4)
Stochastic Fista Algorithms: So Fast ? (2018) (3)
Detecting Aircraft With a Low-Resolution Infrared Sensor (2010) (3)
A New Approach for Mobile Localization in Multipath Scenarios (2007) (3)
Blind and semi-blind equalization: methods and algorithms (1998) (3)
On weighted subspace estimates in system identification (1996) (3)
Improving the Performance of the Two-Stage Sampling Particle Filter: A Statistical Perspective (2007) (3)
Special Issue on Large-Scale Dynamic Systems (2007) (3)
Invertible Flow Non Equilibrium sampling (2021) (3)
Performance of a subspace based semi-blind technique in the UMTS TDD mode context (2000) (3)
Simplified pregnant woman models for the fetus exposure assessment (2013) (3)
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models (2019) (3)
High-rate quantization for the Neyman-Pearson detection of Hidden Markov Processes (2010) (3)
Text-to-speech synthesis in the French electronic mail environment (1987) (3)
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem (2012) (3)
Polynomial quasi-harmonic models for speech analysis and synthesis (1998) (3)
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study (2022) (2)
Detection and classification of poorly known aircraft with a low-resolution infrared sensor (2011) (2)
European Workshop on Reinforcement Learning (2008) (2)
Subgeometric ergodicity of Markov chains (2007) (2)
New conditions for subgeometric rates of convergence in the Wasserstein distance for Markov chains (2014) (2)
Federated Expectation Maximization with heterogeneity mitigation and variance reduction (2021) (2)
Semi-blind subspace techniques for digital communication systems (1999) (2)
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau (2022) (2)
Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains (2021) (2)
On the geometric convergence for MALA under verifiable conditions (2022) (2)
Local-Global MCMC kernels: the best of both worlds (2021) (2)
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling (2022) (2)
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations (2020) (2)
ON THE GEOMETRIC ERGODICITY OF HYBRID SAMPLERSG (2003) (2)
Rates of Convergence for Atomic Markov Chains (2018) (2)
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms (2022) (2)
Sequential Design of Computer Experiments for the Estimation of a Quantile with Application to Numerical Dosimetry (2011) (2)
Surrogate Based Centralized Automated Optimization Applied to LTE Mobility Load Balancing (2013) (2)
The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds (2021) (2)
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees (2020) (2)
Aircraft classification with a low resolution infrared sensor (2012) (2)
Subgeometric Rates of Convergence (2018) (2)
Density Estimation for RWRE (2018) (1)
Variance reduction for additive functionals of Markov chains via martingale representations (2019) (1)
Blind multipath parameters estimation with an unknown pulse shape filter (2000) (1)
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees (2022) (1)
The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning (2021) (1)
Non-convex Optimization with Frank-Wolfe Algorithm and Its Variants (2016) (1)
On the LP-convergence of a Girsanov theorem based particle filter (2016) (1)
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold (2023) (1)
Adaptive one-bit matrix completion (2014) (1)
Rosenthal-type inequalities for linear statistics of Markov chains (2023) (1)
Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm (2014) (1)
Minimum constrast estimation with applications to array processing (1993) (1)
Differentiable samplers for deep latent variable models (2023) (1)
On the error exponents for detecting randomly sampled noisy diffusion processes (2009) (1)
Fractional exponential model for fractal point processes (1997) (1)
Optimization via simulation for maximum likelihood estimation in incomplete data models (1998) (1)
Centralized self-optimization of eICIC with varying traffic in LTE-A (2014) (1)
Nonparametric estimation of a shot-noise process (2016) (1)
On the pulse shape filter estimation in a multipath context (2000) (1)
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems (2022) (1)
Non parametric inference for pile-up correction in nuclear spectrometry (2005) (1)
MISSO: Minimization by Incremental Stochastic Surrogate for large-scale nonconvex Optimization (2018) (1)
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models (2017) (1)
First-Order Constrained Optimization: Non-smooth Dynamical System Viewpoint (2022) (1)
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks (2022) (1)
An online learning algorithm for mixture models of deformable templates (2012) (1)
Examples of Markov Chains (2018) (1)
Centralized Self-Optimization Performance of eICIC and AAS in LTE-A: A Comparison (2014) (1)
Sampling from log-concave non-smooth densities , when Moreau meets Langevin ∗ (2016) (0)
One-Step Distributional Reinforcement Learning (2023) (0)
Rates of convergence for density estimation with generative adversarial networks (2021) (0)
Convergence of Atomic Markov Chains (2018) (0)
Method and device for analyzing a return signal and adaptive echo canceller comprising application. (1994) (0)
On Sampling with Approximate Transport Maps (2023) (0)
A New Approach for Mobile Localization in (2007) (0)
Density Estimation for RWRE (2019) (0)
The sexy job in the next ten years will be statisticians (2015) (0)
Energy Spectrum Reconstruction for HPGe Detectors Using Analytical Pile-Up Correction (2006) (0)
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring (1998) (0)
Methods for Decentralized Signal Processing With Big Data (2018) (0)
latent data models (2009) (0)
Markov Chains on a Discrete State Space (2018) (0)
Robust estimation of the memory parameter of Gaussian time series using wavelets (2011) (0)
Small Sets, Irreducibility, and Aperiodicity (2018) (0)
Considering spatial information to improve anomaly detection in heterogeneous hyperspectral images (2016) (0)
Recursive estimation of a locally stationary process (2004) (0)
Uniform and V -Geometric Ergodicity by Operator Methods (2018) (0)
Simulation-based Methods for Blind Maximum-likelihood Filter Identiication Simulation-based Methods for Blind Maximum-likelihood Filter Identiication (2008) (0)
Interference Cartography for Hierarchical Dynamic Spectrum Access (Short paper) (2008) (0)
On parallel implementation of sequential Monte Carlo methods: the island particle model (2013) (0)
General class of chi-square statistics for goodness-of-fit tests for stationary time series (1994) (0)
State and parameter learning with PaRIS particle Gibbs (2023) (0)
Corrigendum: On‐line expectation–maximization algorithm for latent data models (2011) (0)
Ja n 20 08 ESTIMATORS OF LONG-MEMORY : FOURIER VERSUS WAVELETS (2008) (0)
Health-Constrained Explicit Model Predictive Control Based on Deep-Neural Networks Applied to Real-Time Charging of Batteries (2022) (0)
On the Long-Term Stability of Bootstrap-Type Particle Filters (2012) (0)
Martingales, Harmonic Functions and Poisson–Dirichlet Problems (2018) (0)
Transience, Recurrence, and Harris Recurrence (2018) (0)
Low-rank model with covariates for count data analysis (2017) (0)
Coupling for Irreducible Kernels (2018) (0)
Splitting Construction and Invariant Measures (2018) (0)
Adaptive sequential Monte Carlo by means of mixture of experts (2013) (0)
Improving the auxiliary particle filter: a statistical perspective (2005) (0)
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning (2023) (0)
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms (2021) (0)
Single Diode Model Applied to PV Module Aging (2018) (0)
Opportunistic Spectrum Access with IEEE 802.11 in IEEE P1900.4 Framework (2008) (0)
On the use of sequential Monte Carlo methods for approximating smoothing functionals, with application to fixed parameter estimation (2007) (0)
Log-periodogram regression for non-parametric estimation of spectral density for a non-Gaussian series (1998) (0)
ITERATIVE TURBO DECODING USING GIBBS SAMPLING (2007) (0)
Limit Theorems for subgeometric Markov chains (2004) (0)
A Patient-Specific Single Equivalent Dipole Model (2022) (0)
Stochastic Gradient Richardson-Romberg Markov Chain (2016) (0)
( f , r )-Recurrence and Regularity (2018) (0)
Inference In Hidden Markov Models Reviews (2020) (0)
Central Limit Theorems (2018) (0)
SEQUENTIAL MONTE CARLO SMOOTHING FOR GENERAL STATE SPACE HIDDEN MARKOV MODELS1 BY RANDAL DOUC, AURÉLIEN GARIVIER, ERIC MOULINES (2011) (0)
Model-free policy evaluation in Reinforcement Learning via upper solutions (2021) (0)
Inference of a Generalized Long Memory Process in the Wavelet Domain (2011) (0)
Class of time-domain procedures for testing that a stationary time series is Gaussian (1994) (0)
On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm (1998) (0)
Forgetting of the initial distribution for Hidden Markov Models 1 (2013) (0)
Ex2MCMC: Sampling through Exploration Exploitation (2021) (0)
Stopping Times and the Strong Markov Property (2018) (0)
Asymptotic properties of U-processes under long-range depen- dence and applications (2011) (0)
New Results - Learning and statistical models (2013) (0)
Scaling Analysis of Delayed Rejection MCMC Methods (2013) (0)
Method and self receiver to determine the spatio-temporal parameters of a propagation channel (2001) (0)
QUASI-NEWTON METHOD FOR MAXIMUM LIKELIHOO EN (1998) (0)
Fast Rates for Maximum Entropy Exploration (2023) (0)
Estimation of the autocovariance function with missing observations (2010) (0)
Log-average periodogram estimator of the memory parameter (2007) (0)
Geometric Rates of Convergence (2018) (0)
Variance reduction for additive functionals of Markov chains via martingale representations (2022) (0)
Markov Chains: Basic Definitions (2018) (0)
PARALLELIZATION OF SEQUENTIAL MONTE CARLO METHODS USING PARTICLE ISLANDS: THE BASIL ALGORITHM (2015) (0)
Estimations pour les modeles de Markov caches et approximations particulaires Applicationla cartographie etla localisation simultanees (2012) (0)
A Simple Mixture Model For UnsupervisedText Categorisation (2004) (0)
Blind Identification of Multipath Channels: A (2001) (0)
Convergence in the Wasserstein Distance (2018) (0)
Kernel-Based for Testing (2013) (0)
FAST INCREMENTAL EXPECTATION-MAXIMIZATION ALGORITHM: √ N ITERATIONS FOR AN $\epsilon$-STATIONARY POINT ? (2020) (0)
Geometric Recurrence and Regularity (2018) (0)
An adaptive broadband estimator of the fractional differencing coefficient (2001) (0)
Variance reduction for Markov chains with application to MCMC (2020) (0)
Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization (2023) (0)
Erratum on Cornebise et al. (2008) (2008) (0)
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models (2017) (0)
Centralized self-optimization of interference management in LTE-A HetNets (2015) (0)
Model-Free Approach to Evaluate Reinforcement Learning Algorithms (2021) (0)
Application of semi-definite relaxation to multiuser detection in a CDMA context (2003) (0)
Low-rank Interaction Contingency Tables (2017) (0)
M ay 2 01 6 On the two-filter approximations of marginal smoothing distributions in general state space models (2018) (0)
ON OPTIMALSAMPLING FOR PARTICLE FILTERINGIN DIGITAL COMMUNICATION (2008) (0)
Ergodic Theory for Markov Chains (2018) (0)
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs (2022) (0)
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes (2023) (0)
Maximum likelihood estimation of a low-order building model (2016) (0)
A Batch-Recursive Algorithm For Passive Ground Target T racking (2007) (0)
Feller and T-Kernels (2018) (0)
PREDICTION OF TIME SERIES AND NON STATIONARY TIME SERIES February 10th-11th, 2012 RESUMES/ABSTRACTS (2012) (0)

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