Professeur à l’Université Lyon I - Claude Bernard
Membre de l'Institut Camille Jordan
Liste de publications
R. Giard, Y. De Castro and C. Marteau. Riemmannian Gradient Descent for Gaussian Mixture Models with unknown diagonal covariances. En cours.
Y. De Castro, S. Gadat and C. Marteau. Fast Spawn&Prune (FS&P): Global convergence of
stochastic conic particle gradient descent via birth/death process. Soumis.
R. Giard, Y. De Castro and C. Marteau. Gaussian mixture model with unknown diagonal covariances via continuous sparse regularization. Soumis.
C. Marteau and T. Sapatinas. Minimax testing in a statistical inverse problem with unknown operator. Soumis.
Y. De Castro, S. Gadat and C. Marteau. Over-parametrized stochastic random feature gradient descent for sparse optimization on measures. Soumis.
L. Castelli, I. Gannaz and C. Marteau. A non-asymptotic upper bound in prediction for the PLS estimator. To appear in Journal of Statistical Planning and Inference.
L. Castelli, I. Gannaz and C. Marteau. A non-asymptotic analysis of the single component PLS regression. Scandinavian Journal of Statistics, 52 (2025), pp. 2314-2351.
L. Alsouki, L. Duval, C. Marteau, R. El Haddad, F. Wahl. Dual-sPLS: a family of dual sparse partial least squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) spectra. Chemometrics and Intelligent Laboratory systems, 237 (2023).
C. Marteau and M. Sart. Deconvolution for some singular density errors via a combinatorial median of means approach. Mathematical Statistics and Learning, 6 (2023), pp. 51-85.
Y. De Castro, S. Gadat, C. Marteau and C. Maugis-Rabusseau. Supermix: sparse regularization for mixtures. The Annals of Statistics, 49 (2021), pp. 1779-1809.
S. Gadat, S. Gerchinovitz and C. Marteau. Optimal supervised functional classificaiton with separation conditions. Bernoulli, 26 (2020), pp. 1797-1831.
S. Gadat, C. Marteau and C. Maugis-Rabusseau. Parameter recovery in two-component contamination mixtures: The L2 strategy. Annales de l'IHP Série B, 56 (2020), pp. 1391-1418.
L. Gilquin, P. Lecomte, J. Antoni, T. Le Magueresse and C. Marteau. Iterative positionning of microphone arrays for acoustic imaging. Journal of Sound and Vibration, 469 (2020).
L. Gilquin, S. Bouley, J. Antoni, T. Le Magueresse and C. Marteau. Sensitivity analysis of two inverse methods: Conventional Beamforming and Bayesian focusing. Journal of Sound and Vibration, 455 (2019), pp. 188-202.
F. Autin, M. Clausel, J-M. Freyermuth and C. Marteau. Maxiset point of view for signal detection in inverse problems. Mathematical Methods of Statistics, 28 (2019), pp. 228-242.
J.M. Loubes, C. Marteau and M. Solís. Rates of convergence in conditional covariance matrix estimation. Communication in Statistics - Theory and Methods (2019). Correctif à venir...
