Mhammedi, Zakaria

22 publications

NeurIPS 2025 An Ellipsoid Algorithm for Online Convex Optimization Zakaria Mhammedi

COLT 2025 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

COLT 2025 Online Convex Optimization with a Separation Oracle Zakaria Mhammedi

COLT 2025 Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions Zakaria Mhammedi

NeurIPS 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert

NeurIPS 2024 Fully Unconstrained Online Learning Ashok Cutkosky, Zakaria Mhammedi

NeurIPS 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi

NeurIPS 2024 The Power of Resets in Online Reinforcement Learning Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin

L4DC 2023 Model Predictive Control via On-Policy Imitation Learning Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie

COLT 2023 Quasi-Newton Steps for Efficient Online Exp-Concave Optimization Zakaria Mhammedi, Khashayar Gatmiry

ICML 2023 Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin

COLT 2022 Damped Online Newton Step for Portfolio Selection Zakaria Mhammedi, Alexander Rakhlin

COLT 2022 Efficient Projection-Free Online Convex Optimization with Membership Oracle Zakaria Mhammedi

NeurIPS 2021 Risk Monotonicity in Statistical Learning Zakaria Mhammedi

NeurIPS 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi, Dylan J Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

COLT 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi, Wouter M. Koolen

NeurIPS 2020 PAC-Bayesian Bound for the Conditional Value at Risk Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson

COLT 2019 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi, Wouter M Koolen, Tim Van Erven

NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj

NeurIPS 2018 Constant Regret, Generalized Mixability, and Mirror Descent Zakaria Mhammedi, Robert C. Williamson

IJCAI 2017 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

ICML 2017 Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman, James Bailey