The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem. - El Houcine Bergou; Serge Gratton; Jean Tshimanga Ilunga (SIAM J. Matrix Anal. Appl., 2014)

Levenberg-Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation. - El Houcine Bergou; Serge Gratton; Luís Nunes Vicente (SIAM/ASA J. Uncertain. Quantification, 2016)

On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. - El Houcine Bergou; Youssef Diouane; Serge Gratton (Comput. Optim. Appl., 2017)

A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. - El Houcine Bergou; Youssef Diouane; Serge Gratton (J. Optim. Theory Appl., 2018)

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. - Adel Bibi; El Houcine Bergou; Ozan Sener; Bernard Ghanem; Peter Richtárik (AAAI, 2020)

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. - Aritra Dutta; El Houcine Bergou; Ahmed M. Abdelmoniem; Chen-Yu Ho 001; Atal Narayan Sahu; Marco Canini; Panos Kalnis (AAAI, 2020)

A Stochastic Derivative Free Optimization Method with Momentum. - Eduard Gorbunov; Adel Bibi; Ozan Sener; El Houcine Bergou; Peter Richtárik (ICLR, 2020)

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (CoRR, 2020)

Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev (J. Optim. Theory Appl., 2020)

Stochastic Three Points Method for Unconstrained Smooth Minimization. - El Houcine Bergou; Eduard Gorbunov; Peter Richtárik (SIAM J. Optim., 2020)

Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method. - Yuxi Hong; El Houcine Bergou; Nicolas Doucet; Hao Zhang; Jesse Cranney; Hatem Ltaief; Damien Gratadour; François Rigaut; David E. Keyes (Euro-Par, 2021)

GRACE: A Compressed Communication Framework for Distributed Machine Learning. - Hang Xu; Chen-Yu Ho 001; Ahmed M. Abdelmoniem; Aritra Dutta; El Houcine Bergou; Konstantinos Karatsenidis; Marco Canini; Panos Kalnis (ICDCS, 2021)

Client Selection in Federated Learning based on Gradients Importance. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (CoRR, 2021)

Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev (Optim. Lett., 2021)

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (SIAM J. Sci. Comput., 2021)

Age-of-Updates Optimization for UAV-assisted Networks. - Mouhamed Naby Ndiaye; El Houcine Bergou; Mounir Ghogho; Hajar El Hammouti (GLOBECOM, 2022)

Linear Scalarization for Byzantine-robust learning on non-IID data. - Latifa Errami; El Houcine Bergou (CoRR, 2022)

Direct nonlinear acceleration. - Aritra Dutta; El Houcine Bergou; Yunming Xiao; Marco Canini; Peter Richtárik (EURO J. Comput. Optim., 2022)

A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (SIAM/ASA J. Uncertain. Quantification, 2022)

A Subsampling Line-Search Method with Second-Order Results. - El Houcine Bergou; Youssef Diouane; Vladimir Kunc; Vyacheslav Kungurtsev; Clément W. Royer (INFORMS J. Optim., 2022)

Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks. - Mouhamed Naby Ndiaye; El Houcine Bergou; Hajar El Hammouti (ICC Workshops, 2023)

Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. - Mouhamed Naby Ndiaye; El Houcine Bergou; Hajar El Hammouti (VTC Fall, 2023)

Demystifying the Myths and Legends of Nonconvex Convergence of SGD. - Aritra Dutta; El Houcine Bergou; Soumia Boucherouite; Nicklas Werge; Melih Kandemir; Xin Li 022 (CoRR, 2023)

Personalized Federated Learning with Communication Compression. - El Houcine Bergou; Konstantin Burlachenko; Aritra Dutta; Peter Richtárik (Trans. Mach. Learn. Res., 2023)

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. - Soumia Boucherouite; Grigory Malinovsky; Peter Richtárik; El Houcine Bergou (AAAI, 2024)

Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. - Abdelghafour Aboukacem; Ismail Berrada; El Houcine Bergou; Youssef Iraqi; Loubna Mekouar (AIED (2), 2024)

Student At-Risk Identification and Classification Through Multitask Learning: A Case Study on the Moroccan Education System. - Ismail Elbouknify; Ismail Berrada; Loubna Mekouar; Youssef Iraqi; El Houcine Bergou; Hind Belhabib; Younes Nail; Souhail Wardi (AIED (2), 2024)

Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion. - Latifa Errami; El Houcine Bergou (IJCAI, 2024)

Efficient Client Sampling with Compression in Heterogeneous Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (INFOCOM (Workshops), 2024)

If You Want to Be Robust, Be Wary of Initialization. - Sofiane Ennadir; Johannes F. Lutzeyer; Michalis Vazirgiannis; El Houcine Bergou (NeurIPS, 2024)

EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums. - Abdoul Nasser Hassane Amadou; Anas Motii; Saida Elouardi; El Houcine Bergou (TrustCom, 2024)

Energy Efficient Aerial RIS: Phase Shift Optimization and Trajectory Design. - Hajar El Hammouti; Adnane Saoud; Asma Ennahkami; El Houcine Bergou (VTC Spring, 2024)

Latency Minimization in Heterogeneous Federated Learning through Joint Compression and Resource Allocation. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (VTC Fall, 2024)

Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (WCNC, 2024)

Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization. - Mouhamed Naby Ndiaye; El Houcine Bergou; Hajar El Hammouti (WCNC, 2024)

Joint Probability Selection and Power Allocation for Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (CoRR, 2024)

A Stochastic Iteratively Regularized Gauss-Newton Method. - El Houcine Bergou; Neil K. Chada; Youssef Diouane (CoRR, 2024)

Adaptive Sparsification and Quantization for Enhanced Energy Efficiency in Federated Learning. - Ouiame Marnissi; Hajar El Hammouti; El Houcine Bergou (IEEE Open J. Commun. Soc., 2024)

A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. - El Houcine Bergou; Soumia Boucherouite; Aritra Dutta; Xin Li 022; Anna Ma (SIAM J. Matrix Anal. Appl., 2024)

On the Fairness of Ensemble Learning Methods in Student Dropout Prediction. - Abdelghafour Aboukacem; Loubna Mekouar; El Houcine Bergou; Youssef Iraqi; Ismail Berrada (AIED (5), 2025)

Leveraging Gradient Noise for Detection and Filtering of Byzantine Clients. - Latifa Errami; Vyacheslav Kungurtsev; El Houcine Bergou (IEEE Access, 2025)

AI-based identification and support of at-risk students: A case study of the Moroccan education system. - Ismail Elbouknify; Ismail Berrada; Loubna Mekouar; Youssef Iraqi; El Houcine Bergou; Hind Belhabib; Younes Nail; Souhail Wardi (CoRR, 2025)