| 2026 | AAAI | Stabilizing Policy Gradient Methods via Reward Profiling. | Shihab Ahmed, El Houcine Bergou, Yue Wang, Aritra Dutta |
| 2026 | AAAI | Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems. | Zaid Hadach, Hajar El Hammouti, El Houcine Bergou, Adnane Saoud |
| 2025 | AIED | On the Fairness of Ensemble Learning Methods in Student Dropout Prediction. | Abdelghafour Aboukacem, Loubna Mekouar, El Houcine Bergou, Youssef Iraqi, Ismail Berrada |
| 2024 | AAAI | Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. | Soumia Boucherouite, Grigory Malinovsky, Peter Richtrik, El Houcine Bergou |
| 2024 | AIED | Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. | Abdelghafour Aboukacem, Ismail Berrada, El Houcine Bergou, Youssef Iraqi, Loubna Mekouar |
| 2024 | AIED | 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 |
| 2024 | IJCAI | Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion. | Latifa Errami, El Houcine Bergou |
| 2024 | INFOCOM | Efficient Client Sampling with Compression in Heterogeneous Federated Learning. | Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou |
| 2024 | VTC | Energy Efficient Aerial RIS: Phase Shift Optimization and Trajectory Design. | Hajar El Hammouti, Adnane Saoud, Asma Ennahkami, El Houcine Bergou |
| 2024 | VTC | Latency Minimization in Heterogeneous Federated Learning through Joint Compression and Resource Allocation. | Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou |
| 2024 | WCNC | Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation. | Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou |
| 2024 | WCNC | Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization. | Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti |
| 2024 | TrustCom | EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums. | Abdoul Nasser Hassane Amadou, Anas Motii, Saida Elouardi, El Houcine Bergou |
| 2023 | VTC | Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks. | Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti |
| 2022 | GLOBECOM | Age-of-Updates Optimization for UAV-assisted Networks. | Mouhamed Naby Ndiaye, El Houcine Bergou, Mounir Ghogho, Hajar El Hammouti |
| 2021 | EuroPar | 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, Franois Rigaut, David E. Keyes |
| 2021 | ICDCS | GRACE: A Compressed Communication Framework for Distributed Machine Learning. | Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis |
| 2020 | AAAI | A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. | Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtrik |
| 2020 | AAAI | 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, Atal Narayan Sahu, Marco Canini, Panos Kalnis |
| 2020 | ICLR | A Stochastic Derivative Free Optimization Method with Momentum. | Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtrik |