Bergou, El Houcine

7 publications

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

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

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

TMLR 2023 Personalized Federated Learning with Communication Compression El houcine Bergou, Konstantin Pavlovich Burlachenko, Aritra Dutta, Peter Richtárik

ICLR 2020 A Stochastic Derivative Free Optimization Method with Momentum Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtarik

AAAI 2020 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, Atal Narayan Sahu, Marco Canini, Panos Kalnis