El Houcine Bergou

61 papers A* 8A 1B 4Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems. AAAI Zaid Hadach, Hajar El Hammouti, El Houcine Bergou, Adnane Saoud
2026	A*	`conf`	Stabilizing Policy Gradient Methods via Reward Profiling. AAAI Shihab Ahmed, El Houcine Bergou, Yue Wang, Aritra Dutta
2025	J	`jnl`	A Comprehensive Evaluation of Byzantine Attacks and Defenses Under Data Heterogeneity. IEEE Access Latifa Errami, El Houcine Bergou, Hajar El Hammouti
2025	J	`jnl`	AI-based identification and support of at-risk students: A case study of the Moroccan education system. CoRR Ismail Elbouknify, Ismail Berrada, Loubna Mekouar, Youssef Iraqi, El Houcine Bergou, Hind Belhabib, Younes Nail, Souhail Wardi
2025	J	`jnl`	FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning. CoRR Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2025	J	`jnl`	If You Want to Be Robust, Be Wary of Initialization. CoRR Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou
2025	—	`conf`	Impact of Sparsification and Quantization on Energy Consumption in Federated Learning. NETYS Ouiame Marnissi, Karim Boubouh, Hajar El Hammouti, El Houcine Bergou, Robert Basmadjian
2025	J	`jnl`	Joint Optimization of Expected Age-of-Information and Its Variance in UAV-Assisted Networks. IEEE Open J. Commun. Soc. Mouhamed Naby Ndiaye, Hajar El Hammouti, El Houcine Bergou
2025	J	`jnl`	Just Few States are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems. CoRR Zaid Hadach, Hajar El Hammouti, El Houcine Bergou, Adnane Saoud
2025	J	`jnl`	Leveraging Gradient Noise for Detection and Filtering of Byzantine Clients. IEEE Access Latifa Errami, Vyacheslav Kungurtsev, El Houcine Bergou
2025	—	`conf`	On the Fairness of Ensemble Learning Methods in Student Dropout Prediction. AIED (5) Abdelghafour Aboukacem, Loubna Mekouar, El Houcine Bergou, Youssef Iraqi, Ismail Berrada
2025	J	`jnl`	Stabilizing Policy Gradient Methods via Reward Profiling. CoRR Shihab Ahmed, El Houcine Bergou, Aritra Dutta, Yue Wang
2025	J	`jnl`	Where Have All the Kaczmarz Iterates Gone? CoRR El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024	J	`jnl`	A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. SIAM J. Matrix Anal. Appl. El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024	J	`jnl`	A Stochastic Iteratively Regularized Gauss-Newton Method. CoRR El Houcine Bergou, Neil K. Chada, Youssef Diouane
2024	J	`jnl`	Adaptive Sparsification and Quantization for Enhanced Energy Efficiency in Federated Learning. IEEE Open J. Commun. Soc. Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	B	`conf`	Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization. WCNC Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
2024	B	`conf`	EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums. TrustCom Abdoul Nasser Hassane Amadou, Anas Motii, Saida Elouardi, El Houcine Bergou
2024	J	`jnl`	EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums. CoRR Abdoul Nasser Hassane Amadou, Anas Motii, Saida Elouardi, El Houcine Bergou
2024	—	`conf`	Efficient Client Sampling with Compression in Heterogeneous Federated Learning. INFOCOM (Workshops) Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	—	`conf`	Energy Efficient Aerial RIS: Phase Shift Optimization and Trajectory Design. VTC Spring Hajar El Hammouti, Adnane Saoud, Asma Ennahkami, El Houcine Bergou
2024	A*	`conf`	If You Want to Be Robust, Be Wary of Initialization. NeurIPS Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou
2024	—	`conf`	Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. AIED (2) Abdelghafour Aboukacem, Ismail Berrada, El Houcine Bergou, Youssef Iraqi, Loubna Mekouar
2024	J	`jnl`	Joint Probability Selection and Power Allocation for Federated Learning. CoRR Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	—	`conf`	Latency Minimization in Heterogeneous Federated Learning through Joint Compression and Resource Allocation. VTC Fall Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	A*	`conf`	Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. AAAI Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik, El Houcine Bergou
2024	B	`conf`	Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. WCNC Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	J	`jnl`	Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. CoRR Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2024	—	`conf`	Student At-Risk Identification and Classification Through Multitask Learning: A Case Study on the Moroccan Education System. AIED (2) Ismail Elbouknify, Ismail Berrada, Loubna Mekouar, Youssef Iraqi, El Houcine Bergou, Hind Belhabib, Younes Nail, Souhail Wardi
2024	A*	`conf`	Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion. IJCAI Latifa Errami, El Houcine Bergou
2023	J	`jnl`	A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems. CoRR El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2023	J	`jnl`	Demystifying the Myths and Legends of Nonconvex Convergence of SGD. CoRR Aritra Dutta, El Houcine Bergou, Soumia Boucherouite, Nicklas Werge, Melih Kandemir, Xin Li
2023	—	`conf`	Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. VTC Fall Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
2023	J	`jnl`	Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. CoRR Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
2023	—	`conf`	Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks. ICC Workshops Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
2023	J	`jnl`	Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks. CoRR Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
2023	J	`jnl`	Personalized Federated Learning with Communication Compression. Trans. Mach. Learn. Res. El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
2022	J	`jnl`	A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. SIAM/ASA J. Uncertain. Quantification El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2022	J	`jnl`	A Subsampling Line-Search Method with Second-Order Results. INFORMS J. Optim. El Houcine Bergou, Youssef Diouane, Vladimir Kunc, Vyacheslav Kungurtsev, Clément W. Royer
2022	B	`conf`	Age-of-Updates Optimization for UAV-assisted Networks. GLOBECOM Mouhamed Naby Ndiaye, El Houcine Bergou, Mounir Ghogho, Hajar El Hammouti
2022	J	`jnl`	Direct nonlinear acceleration. EURO J. Comput. Optim. Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2022	J	`jnl`	Linear Scalarization for Byzantine-robust learning on non-IID data. CoRR Latifa Errami, El Houcine Bergou
2022	J	`jnl`	Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. CoRR Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik, El Houcine Bergou
2022	J	`jnl`	Personalized Federated Learning with Communication Compression. CoRR El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
2021	J	`jnl`	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM J. Sci. Comput. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2021	J	`jnl`	Client Selection in Federated Learning based on Gradients Importance. CoRR Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
2021	J	`jnl`	Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optim. Lett. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev
2021	A	`conf`	GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021	—	`conf`	Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method. Euro-Par Yuxi Hong, El Houcine Bergou, Nicolas Doucet, Hao Zhang, Jesse Cranney, Hatem Ltaief, Damien Gratadour, François Rigaut, David E. Keyes
2020	J	`jnl`	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. CoRR El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2020	A*	`conf`	A Stochastic Derivative Free Optimization Method with Momentum. ICLR Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik
2020	A*	`conf`	A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. AAAI Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik
2020	J	`jnl`	Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. J. Optim. Theory Appl. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev
2020	A*	`conf`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2020	J	`jnl`	Stochastic Three Points Method for Unconstrained Smooth Minimization. SIAM J. Optim. El Houcine Bergou, Eduard Gorbunov, Peter Richtárik
2019	J	`jnl`	Direct Nonlinear Acceleration. CoRR Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2019	J	`jnl`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2018	J	`jnl`	A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. J. Optim. Theory Appl. El Houcine Bergou, Youssef Diouane, Serge Gratton
2017	J	`jnl`	On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Comput. Optim. Appl. El Houcine Bergou, Youssef Diouane, Serge Gratton
2016	J	`jnl`	Levenberg-Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation. SIAM/ASA J. Uncertain. Quantification El Houcine Bergou, Serge Gratton, Luís Nunes Vicente
2014	J	`jnl`	The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem. SIAM J. Matrix Anal. Appl. El Houcine Bergou, Serge Gratton, Jean Tshimanga Ilunga