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El Houcine Bergou
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2020 – today
- 2024
- [j14]Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Adaptive Sparsification and Quantization for Enhanced Energy Efficiency in Federated Learning. IEEE Open J. Commun. Soc. 5: 4307-4321 (2024) - [j13]El Houcine Bergou
, Soumia Boucherouite, Aritra Dutta
, Xin Li, Anna Ma
:
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. SIAM J. Matrix Anal. Appl. 45(2): 992-1006 (2024) - [c13]Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik
, El Houcine Bergou:
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. AAAI 2024: 20344-20352 - [c12]Ismail Elbouknify
, Ismail Berrada, Loubna Mekouar
, Youssef Iraqi
, El Houcine Bergou
, Hind Belhabib, Younes Nail, Souhail Wardi:
Student At-Risk Identification and Classification Through Multitask Learning: A Case Study on the Moroccan Education System. AIED (2) 2024: 372-380 - [c11]Abdelghafour Aboukacem, Ismail Berrada, El Houcine Bergou
, Youssef Iraqi
, Loubna Mekouar
:
Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. AIED (2) 2024: 381-388 - [c10]Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. WCNC 2024: 1-6 - [c9]Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti:
Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization. WCNC 2024: 1-6 - [i13]Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Joint Probability Selection and Power Allocation for Federated Learning. CoRR abs/2401.07756 (2024) - [i12]Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. CoRR abs/2401.10766 (2024) - 2023
- [j12]El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik:
Personalized Federated Learning with Communication Compression. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Mouhamed Naby Ndiaye
, El Houcine Bergou, Hajar El Hammouti:
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks. ICC Workshops 2023: 1920-1925 - [c7]Mouhamed Naby Ndiaye
, El Houcine Bergou, Hajar El Hammouti:
Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. VTC Fall 2023: 1-6 - [i11]Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti:
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks. CoRR abs/2303.08680 (2023) - [i10]El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma:
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems. CoRR abs/2308.16904 (2023) - [i9]Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti:
Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. CoRR abs/2309.02913 (2023) - [i8]Aritra Dutta, El Houcine Bergou, Soumia Boucherouite, Nicklas Werge, Melih Kandemir, Xin Li:
Demystifying the Myths and Legends of Nonconvex Convergence of SGD. CoRR abs/2310.12969 (2023) - 2022
- [j11]Aritra Dutta
, El Houcine Bergou, Yunming Xiao
, Marco Canini
, Peter Richtárik
:
Direct nonlinear acceleration. EURO J. Comput. Optim. 10: 100047 (2022) - [j10]El Houcine Bergou
, Youssef Diouane
, Vladimir Kunc
, Vyacheslav Kungurtsev
, Clément W. Royer:
A Subsampling Line-Search Method with Second-Order Results. INFORMS J. Optim. 4(4): 403-425 (2022) - [j9]El Houcine Bergou, Youssef Diouane
, Vyacheslav Kungurtsev
, Clément W. Royer
:
A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. SIAM/ASA J. Uncertain. Quantification 10(1): 507-536 (2022) - [c6]Mouhamed Naby Ndiaye
, El Houcine Bergou, Mounir Ghogho, Hajar El Hammouti:
Age-of-Updates Optimization for UAV-assisted Networks. GLOBECOM 2022: 450-455 - [i7]El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik:
Personalized Federated Learning with Communication Compression. CoRR abs/2209.05148 (2022) - [i6]Soumia Boucherouite, Grigory Malinovsky
, Peter Richtárik, El Houcine Bergou:
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. CoRR abs/2209.07883 (2022) - [i5]Latifa Errami, El Houcine Bergou:
Linear Scalarization for Byzantine-robust learning on non-IID data. CoRR abs/2210.08287 (2022) - 2021
- [j8]El Houcine Bergou, Youssef Diouane
, Vyacheslav Kungurtsev
:
Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optim. Lett. 15(4): 1215-1227 (2021) - [j7]El Houcine Bergou, Youssef Diouane
, Vyacheslav Kungurtsev
, Clément W. Royer
:
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM J. Sci. Comput. 43(5): S743-S766 (2021) - [c5]Yuxi Hong
, El Houcine Bergou, Nicolas Doucet, Hao Zhang, Jesse Cranney
, Hatem Ltaief
, Damien Gratadour
, François Rigaut, David E. Keyes:
Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method. Euro-Par 2021: 565-579 - [c4]Hang Xu, Chen-Yu Ho
, Ahmed M. Abdelmoniem, Aritra Dutta
, El Houcine Bergou, Konstantinos Karatsenidis
, Marco Canini
, Panos Kalnis
:
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [i4]Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Client Selection in Federated Learning based on Gradients Importance. CoRR abs/2111.11204 (2021) - 2020
- [j6]El Houcine Bergou, Youssef Diouane
, Vyacheslav Kungurtsev
:
Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. J. Optim. Theory Appl. 185(3): 927-944 (2020) - [j5]El Houcine Bergou, Eduard Gorbunov, Peter Richtárik
:
Stochastic Three Points Method for Unconstrained Smooth Minimization. SIAM J. Optim. 30(4): 2726-2749 (2020) - [c3]Adel Bibi
, El Houcine Bergou, Ozan Sener, Bernard Ghanem
, Peter Richtárik
:
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. AAAI 2020: 3275-3282 - [c2]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
, Atal Narayan Sahu, Marco Canini
, Panos Kalnis
:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824 - [c1]Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik:
A Stochastic Derivative Free Optimization Method with Momentum. ICLR 2020 - [i3]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer:
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. CoRR abs/2006.16340 (2020)
2010 – 2019
- 2019
- [i2]Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini
, Peter Richtárik
:
Direct Nonlinear Acceleration. CoRR abs/1905.11692 (2019) - [i1]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
, Atal Narayan Sahu, Marco Canini
, Panos Kalnis
:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019) - 2018
- [j4]El Houcine Bergou, Youssef Diouane
, Serge Gratton:
A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. J. Optim. Theory Appl. 178(3): 885-913 (2018) - 2017
- [j3]El Houcine Bergou, Youssef Diouane
, Serge Gratton:
On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Comput. Optim. Appl. 68(3): 533-554 (2017) - 2016
- [j2]El Houcine Bergou, Serge Gratton, Luís Nunes Vicente
:
Levenberg-Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation. SIAM/ASA J. Uncertain. Quantification 4(1): 924-951 (2016) - 2014
- [j1]El Houcine Bergou, Serge Gratton, Jean Tshimanga Ilunga:
The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem. SIAM J. Matrix Anal. Appl. 35(3): 1073-1085 (2014)
Coauthor Index
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last updated on 2024-08-06 21:02 CEST by the dblp team
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