Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Publications of the year

Articles in International Peer-Reviewed Journals

Y. Atchade, G. Fort, E. Moulines.
On perturbed proximal gradient algorithms, in: Journal of Machine Learning Research, 2017.
N. Brosse, A. Durmus, E. Moulines, M. Pereyra.
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo, in: Proceedings of Machine Learning Research, 2017, vol. 65, pp. 319-342.
E. Comets, A. LAVENU, M. Lavielle.
Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm, in: Journal of Statistical Software, 2017, vol. 80, no 3, pp. 1-42. [ DOI : 10.18637/jss.v080.i03 ]
R. Douc, K. Fokianos, E. Moulines.
Asymptotic properties of quasi-maximum likelihood estimators in observation-driven time series models, in: Electronic journal of statistics , 2017, vol. 11, no 2, pp. 2707 - 2740. [ DOI : 10.1214/17-EJS1299 ]
A. Durmus, E. Moulines.
Nonasymptotic convergence analysis for the unadjusted Langevin algorithm, in: The Annals of Applied Probability : an official journal of the institute of mathematical statistics, June 2017, vol. 27, no 3, pp. 1551 - 1587. [ DOI : 10.1214/16-AAP1238 ]
M. Lavielle.
Pharmacometrics Models with Hidden Markovian Dynamics, in: Journal of Pharmacokinetics and Pharmacodynamics, 2017, pp. 1-15. [ DOI : 10.1007/s10928-017-9541-1 ]
F. MAIRE, E. Moulines, S. Lefebvre.
Online EM for functional data, in: Computational Statistics and Data Analysis, July 2017, vol. 111, pp. 27 - 47. [ DOI : 10.1016/j.csda.2017.01.006 ]
N. M. Nguyen, S. Le Corff, E. Moulines.
Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models, in: EURASIP Journal on Advances in Signal Processing, December 2017, vol. 2017:54, pp. 1-15. [ DOI : 10.1186/s13634-017-0489-5 ]
H.-T. Wai, J. Lafond, A. Scaglione, E. Moulines.
Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems, in: IEEE Transactions on Automatic Control, November 2017, vol. 62, no 11, pp. 5522 - 5537. [ DOI : 10.1109/TAC.2017.2685559 ]

International Conferences with Proceedings

H.-T. Wai, J. Lafond, A. Scaglione, E. Moulines.
Fast and privacy preserving distributed low-rank regression, in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, United States, 2017.

Other Publications

N. Brosse, A. Durmus, E. Moulines.
Normalizing constants of log-concave densities, November 2017, working paper or preprint.
N. Brosse, A. Durmus, E. Moulines, S. Sabanis.
The Tamed Unadjusted Langevin Algorithm, November 2017, working paper or preprint.
E. Derman, E. Le Pennec.
Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors, September 2017, - working paper or preprint.
E. Gautier, E. Le Pennec.
Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding, November 2017, - working paper or preprint.
G. Robin, J. Josse, E. Moulines, S. Sardy.
Low-rank Interaction Contingency Tables, September 2017, - working paper or preprint.