Zakaria Mhammedi

54 papers A* 23Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization. CoRR Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri, Aryan Mokhtari
2026	J	`jnl`	Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration. CoRR Zakaria Mhammedi, James Cohan
2026	J	`jnl`	End-to-End Efficient RL for Linear Bellman Complete MDPs with Deterministic Transitions. CoRR Zakaria Mhammedi, Alexander Rakhlin, Nneka Okolo
2025	A*	`conf`	Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration. COLT Dylan J. Foster, Zakaria Mhammedi, Dhruv Rohatgi
2025	J	`jnl`	Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration. CoRR Dylan J. Foster, Zakaria Mhammedi, Dhruv Rohatgi
2025	A*	`conf`	Online Convex Optimization with a Separation Oracle. COLT Zakaria Mhammedi
2025	A*	`conf`	Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions. COLT Zakaria Mhammedi
2024	A*	`conf`	Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback. NeurIPS Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
2024	J	`jnl`	Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback. CoRR Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
2024	A*	`conf`	Fully Unconstrained Online Learning. NeurIPS Ashok Cutkosky, Zakaria Mhammedi
2024	J	`jnl`	Fully Unconstrained Online Learning. CoRR Ashok Cutkosky, Zakaria Mhammedi
2024	J	`jnl`	Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. CoRR Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2024	—	`conf`	On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. CDC Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2024	J	`jnl`	Online Convex Optimization with a Separation Oracle. CoRR Zakaria Mhammedi
2024	A*	`conf`	Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity. NeurIPS Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
2024	J	`jnl`	Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic Modularity. CoRR Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
2024	J	`jnl`	Sample- and Oracle-Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions. CoRR Zakaria Mhammedi
2024	A*	`conf`	The Power of Resets in Online Reinforcement Learning. NeurIPS Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
2024	J	`jnl`	The Power of Resets in Online Reinforcement Learning. CoRR Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
2023	A*	`conf`	Efficient Model-Free Exploration in Low-Rank MDPs. NeurIPS Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
2023	J	`jnl`	Efficient Model-Free Exploration in Low-Rank MDPs. CoRR Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
2023	—	`conf`	Model Predictive Control via On-Policy Imitation Learning. L4DC Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
2023	A*	`conf`	Projection-Free Online Convex Optimization via Efficient Newton Iterations. NeurIPS Khashayar Gatmiry, Zakaria Mhammedi
2023	J	`jnl`	Projection-Free Online Convex Optimization via Efficient Newton Iterations. CoRR Khashayar Gatmiry, Zakaria Mhammedi
2023	A*	`conf`	Quasi-Newton Steps for Efficient Online Exp-Concave Optimization. COLT Zakaria Mhammedi, Khashayar Gatmiry
2023	A*	`conf`	Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL. ICML Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
2023	J	`jnl`	Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL. CoRR Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
2023	J	`jnl`	Smooth Model Predictive Control with Applications to Statistical Learning. CoRR Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2022	A*	`conf`	Damped Online Newton Step for Portfolio Selection. COLT Zakaria Mhammedi, Alexander Rakhlin
2022	J	`jnl`	Damped Online Newton Step for Portfolio Selection. CoRR Zakaria Mhammedi, Alexander Rakhlin
2022	A*	`conf`	Efficient Projection-Free Online Convex Optimization with Membership Oracle. COLT Zakaria Mhammedi
2022	J	`jnl`	Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning. CoRR Zakaria Mhammedi
2022	J	`jnl`	Model Predictive Control via On-Policy Imitation Learning. CoRR Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
2022	J	`jnl`	Quasi-Newton Steps for Efficient Online Exp-Concave Optimization. CoRR Zakaria Mhammedi, Khashayar Gatmiry
2021	J	`jnl`	Efficient Projection-Free Online Convex Optimization with Membership Oracle. CoRR Zakaria Mhammedi
2021	A*	`conf`	Risk Monotonicity in Statistical Learning. NeurIPS Zakaria Mhammedi
2020	A*	`conf`	Learning the Linear Quadratic Regulator from Nonlinear Observations. NeurIPS Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
2020	J	`jnl`	Learning the Linear Quadratic Regulator from Nonlinear Observations. CoRR Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
2020	A*	`conf`	Lipschitz and Comparator-Norm Adaptivity in Online Learning. COLT Zakaria Mhammedi, Wouter M. Koolen
2020	J	`jnl`	Lipschitz and Comparator-Norm Adaptivity in Online Learning. CoRR Zakaria Mhammedi, Wouter M. Koolen
2020	A*	`conf`	PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson
2020	J	`jnl`	PAC-Bayesian Bound for the Conditional Value at Risk. CoRR Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson
2020	J	`jnl`	Risk-Monotonicity via Distributional Robustness. CoRR Zakaria Mhammedi, Hisham Husain
2019	A*	`conf`	Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. COLT Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
2019	J	`jnl`	Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. CoRR Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
2019	A*	`conf`	PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj
2019	J	`jnl`	PAC-Bayes Un-Expected Bernstein Inequality. CoRR Zakaria Mhammedi, Peter D. Grünwald, Benjamin Guedj
2018	A*	`conf`	Constant Regret, Generalized Mixability, and Mirror Descent. NeurIPS Zakaria Mhammedi, Robert C. Williamson
2018	J	`jnl`	Constant Regret, Generalized Mixability, and Mirror Descent. CoRR Zakaria Mhammedi, Robert C. Williamson
2018	A*	`conf`	Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
2017	A*	`conf`	Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. IJCAI Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey
2017	A*	`conf`	Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
2017	J	`jnl`	Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. CoRR Xingjun Ma, James Bailey, Sudanthi N. R. Wijewickrema, Shuo Zhou, Zakaria Mhammedi, Yun Zhou, Stephen J. O'Leary
2016	J	`jnl`	Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey