Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. - Zakaria Mhammedi; Andrew D. Hellicar; Ashfaqur Rahman; James Bailey 001 (ICML, 2017)

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Yun Zhou 002; Zakaria Mhammedi; Stephen J. O'Leary; James Bailey 001 (IJCAI, 2017)

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. - Xingjun Ma; James Bailey 001; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Zakaria Mhammedi; Yun Zhou 002; Stephen J. O'Leary (CoRR, 2017)

Geometry Aware Constrained Optimization Techniques for Deep Learning. - Soumava Kumar Roy; Zakaria Mhammedi; Mehrtash Harandi (CVPR, 2018)

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

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. - Zakaria Mhammedi; Wouter M. Koolen; Tim van Erven (COLT, 2019)

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

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

Learning the Linear Quadratic Regulator from Nonlinear Observations. - Zakaria Mhammedi; Dylan J. Foster; Max Simchowitz; Dipendra Misra; Wen Sun 002; Akshay Krishnamurthy; Alexander Rakhlin; John Langford 001 (NeurIPS, 2020)

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

Risk-Monotonicity via Distributional Robustness. - Zakaria Mhammedi; Hisham Husain (CoRR, 2020)

Risk Monotonicity in Statistical Learning. - Zakaria Mhammedi (NeurIPS, 2021)

Efficient Projection-Free Online Convex Optimization with Membership Oracle. - Zakaria Mhammedi (COLT, 2022)

Damped Online Newton Step for Portfolio Selection. - Zakaria Mhammedi; Alexander Rakhlin (COLT, 2022)

Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning. - Zakaria Mhammedi (CoRR, 2022)

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

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

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

Projection-Free Online Convex Optimization via Efficient Newton Iterations. - Khashayar Gatmiry; Zakaria Mhammedi (NeurIPS, 2023)

Efficient Model-Free Exploration in Low-Rank MDPs. - Zakaria Mhammedi; Adam Block; Dylan J. Foster; Alexander Rakhlin (NeurIPS, 2023)

Smooth Model Predictive Control with Applications to Statistical Learning. - Kwangjun Ahn; Daniel Pfrommer; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CoRR, 2023)

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CDC, 2024)

Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity. - Philip Amortila; Dylan J. Foster; Nan Jiang 008; Akshay Krishnamurthy; Zakaria Mhammedi (NeurIPS, 2024)

Fully Unconstrained Online Learning. - Ashok Cutkosky; 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)

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

Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. - Daniel Pfrommer; Swati Padmanabhan; Kwangjun Ahn; Jack Umenberger; Tobia Marcucci; Zakaria Mhammedi; Ali Jadbabaie (CoRR, 2024)

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 (COLT, 2025)