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El Houcine Bergou
El Houcine Bergou
UM6P
Verified email at um6p.ma
Title
Cited by
Cited by
Year
On the discrepancy between the theoretical analysis and practical implementations of compressed communication for distributed deep learning
A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3817-3824, 2020
882020
Grace: A compressed communication framework for distributed machine learning
H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ...
2021 IEEE 41st international conference on distributed computing systems …, 2021
772021
Compressed communication for distributed deep learning: Survey and quantitative evaluation
H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ...
712020
Convergence and complexity analysis of a Levenberg–Marquardt algorithm for inverse problems
EH Bergou, Y Diouane, V Kungurtsev
Journal of Optimization Theory and Applications 185, 927-944, 2020
582020
Stochastic three points method for unconstrained smooth minimization
EH Bergou, E Gorbunov, P Richtárik
SIAM Journal on Optimization 30 (4), 2726-2749, 2020
492020
Levenberg--Marquardt methods based on probabilistic gradient models and inexact subproblem solution, with application to data assimilation
E Bergou, S Gratton, LN Vicente
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 924-951, 2016
382016
Stochastic sign descent methods: New algorithms and better theory
M Safaryan, P Richtárik
International Conference on Machine Learning, 9224-9234, 2021
342021
A subsampling line-search method with second-order results
EH Bergou, Y Diouane, V Kunc, V Kungurtsev, CW Royer
INFORMS Journal on Optimization 4 (4), 403-425, 2022
272022
Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method
J Mandel, E Bergou, S Gürol, S Gratton, I Kasanický
Nonlinear Processes in Geophysics 23 (2), 59-73, 2016
272016
On the use of the energy norm in trust-region and adaptive cubic regularization subproblems
E Bergou, Y Diouane, S Gratton
Computational Optimization and Applications 68, 533-554, 2017
252017
A stochastic derivative free optimization method with momentum
E Gorbunov, A Bibi, O Sener, EH Bergou, P Richtárik
arXiv preprint arXiv:1905.13278, 2019
232019
A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results
EH Bergou, Y Diouane, V Kungurtsev, CW Royer
SIAM/ASA Journal on Uncertainty Quantification 10 (1), 507-536, 2022
18*2022
On the convergence of a non-linear ensemble Kalman smoother
EH Bergou, S Gratton, J Mandel
Applied Numerical Mathematics 137, 151-168, 2019
162019
A stochastic derivative-free optimization method with importance sampling: Theory and learning to control
A Bibi, EH Bergou, O Sener, B Ghanem, P Richtarik
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3275-3282, 2020
122020
A line-search algorithm inspired by the adaptive cubic regularization framework and complexity analysis
EH Bergou, Y Diouane, S Gratton
Journal of Optimization Theory and Applications 178, 885-913, 2018
122018
The exact condition number of the truncated singular value solution of a linear ill-posed problem
EH Bergou, S Gratton, J Tshimanga
SIAM Journal on Matrix Analysis and Applications 35 (3), 1073-1085, 2014
112014
4DVAR by ensemble Kalman smoother
J Mandel, E Bergou, S Gratton
arXiv preprint arXiv:1304.5271, 2013
92013
Client selection in federated learning based on gradients importance
O Marnissi, HE Hammouti, EH Bergou
AIP Conference Proceedings 3034 (1), 2024
42024
Personalized federated learning with communication compression
EH Bergou, K Burlachenko, A Dutta, P Richtárik
arXiv preprint arXiv:2209.05148, 2022
42022
Convergence and Iteration Complexity Analysis of a Levenberg–Marquardt Algorithm for Zero and Non-zero Residual Inverse Problems
E Bergou, Y Diouane, V Kungurtsev
Paper, 2018
42018
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Articles 1–20