| 2026 | COLT | Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization. | Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri, Aryan Mokhtari |
| 2025 | COLT | Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration. | Dylan J. Foster, Zakaria Mhammedi, Dhruv Rohatgi |
| 2025 | COLT | Online Convex Optimization with a Separation Oracle. | Zakaria Mhammedi |
| 2025 | COLT | Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions. | Zakaria Mhammedi |
| 2023 | COLT | Quasi-Newton Steps for Efficient Online Exp-Concave Optimization. | Zakaria Mhammedi, Khashayar Gatmiry |
| 2023 | ICML | Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL. | Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin |
| 2022 | COLT | Efficient Projection-Free Online Convex Optimization with Membership Oracle. | Zakaria Mhammedi |
| 2022 | COLT | Damped Online Newton Step for Portfolio Selection. | Zakaria Mhammedi, Alexander Rakhlin |
| 2020 | COLT | Lipschitz and Comparator-Norm Adaptivity in Online Learning. | Zakaria Mhammedi, Wouter M. Koolen |
| 2019 | COLT | Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. | Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven |
| 2018 | CVPR | Geometry Aware Constrained Optimization Techniques for Deep Learning. | Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi |
| 2017 | ICML | Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. | Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey |
| 2017 | IJCAI | Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey |