Sylvain Le Corff
Sylvain Le Corff
Institut Polytechnique de Paris, Télécom SudParis
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Cited by
Cited by
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
A Schreck, G Fort, S Le Corff, E Moulines
IEEE Journal of Selected Topics in Signal Processing 10 (2), 366 - 375, 2013
Simultaneous localization and mapping problem in wireless sensor networks
T Dumont, S Le Corff
Signal Processing 101, 192-203, 2014
Online Expectation Maximization algorithm to solve the SLAM problem
S Le Corff, G Fort, E Moulines
2011 IEEE statistical signal processing workshop (SSP), 225-228, 2011
Online Expectation Maximization based algorithms for inference in hidden Markov models
S Le Corff, G Fort
Electronic Journal of Statistics 7, 763-792, 2013
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
Y De Castro, E Gassiat, S Le Corff
IEEE Transactions on Information Theory 63 (8), 4758-4777, 2017
Nonparametric regression on hidden -mixing variables: Identifiability and consistency of a pseudo-likelihood based estimation procedure
T Dumont, S Le Corff
Bernoulli 23 (2), 990-1021, 2017
Convergence of a particle-based approximation of the Block Online Expectation Maximization algorithm
S Le Corff, G Fort
ACM Trans. Model. Comput. Simul. 23 (1), 1-22, 2013
Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models
C Dubarry, S Le Corff
Bernoulli 19 (5B), 2222-2249, 2013
Stochastic differential equation based on a multimodal potential to model movement data in ecology
P Gloaguen, MP Etienne, SL Corff
Journal of the Royal Statistical Society: Series C 67 (3), 2015
Online sequential Monte Carlo smoother for partially observed diffusion processes
P Gloaguen, MP Étienne, S Le Corff
EURASIP Journal on Advances in Signal Processing 2018 (1), 1-14, 2018
Optimal scaling of the Random Walk Metropolis algorithm under Lp mean differentiability
A Durmus, S Le Corff, E Moulines, GO Roberts
Journal of Applied Probability 54 (4), 1233-1260, 2017
On the two-filter approximations of marginal smoothing distributions in general state space models
TNM Nguyen, SL Corff, E Moulines
arXiv preprint arXiv:1605.08534, 2016
A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment
S Le Corff, M Lerasle, E Vernet
arXiv preprint arXiv:1808.08104, 2018
Optimizing thermal comfort and energy consumption in a large building without renovation work
S Le Corff, A Champagne, M Charbit, G Nozière, É Moulines
2018 IEEE Data Science Workshop (DSW), 41-45, 2018
Statistical inference for oscillation processes
R Dahlhaus, T Dumont, S Le Corff, JC Neddermeyer
Statistics 51 (1), 61-83, 2017
Fast computation of smoothed additive functionals in general state-space models
C Dubarry, S Le Corff
2011 IEEE Statistical Signal Processing Workshop (SSP), 197-200, 2011
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models
NM Nguyen, S Le Corff, É Moulines
EURASIP Journal on Advances in Signal Processing 2017 (1), 54, 2017
Backward importance sampling for partially observed diffusion processes
MP Etienne, P Gloaguen, SL Corff, J Olsson
arXiv preprint arXiv:2002.05438, 2020
Learning the distribution of latent variables in paired comparison models with round-robin scheduling
R Diel, S Le Corff, M Lerasle
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
E Gassiat, S Le Corff, L Lehéricy
The Journal of Machine Learning Research 21 (115), 1−40, 2020
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