Email :
Adresse : INRA - Unité MaIAGE
                 Bâtiment 210
                 Domaine de Vilvert
                 78352 JOUY-EN-JOSAS CEDEX
Tél : +33 (0)1 34 65 22 25
Secrétariat : +33 (0)1 34 65 22 31

Current position

I am a researcher in the MaIAGE team at INRA in Jouy-en-Josas, France.

Research Interests

  • Convex & Large-scale Optimization
  • Data Assimilation
    • Sequential data assimilation (Kalman filtering)
    • Variational data assimilation (3DVAR/4DVAR)
    • Least-squares problems


E. Bergou, S. Gorbunov and P. Richtàrik, 2018, Stochastic Three Points Method for Minimizing Nonconvex, Convex and Strongly Convex Functions.


E. Bergou, S. Gratton and L. N. Vicente, 2016, Levenberg-Marquardt methods based on probabilistic gradient models and inexact subproblem solution, with application to data assimilation, SIAM Journal on Uncertainties Quantification (SIAM/ASA JUQ), 4/1/924-951, DOI: 10.1137/140974687.

J. Mandel, E. Bergou, S. Gurol and S. Gratton, 2016, Hybrid Levenberg–Marquardt and weak constraint ensemble Kalman smoother method, Nonlinear Processes in Geophysics Journal, 23/59-73, DOI: 10.5194/npg-23-59-2016.

E. Bergou, S. Gratton and J. I. Tshimanga, 2014, The exact condition number of the truncated singular value solution of a linear ill-posed problem, SIAM Journal on Matrix Analysis and Applications (SIMAX), 23/3/519-534, DOI: 10.1137/120869286.

E. Bergou, J. Mandel and S. Gratton, 2016, On the convergence of a non-linear ensemble Kalman smoother. Submitted at Applied Numerical Mathematics.

E. Bergou, 2014, Numerical methods for least-squares problems with application to data assimilation. PhD Thesis.