Zakaria Mhammedi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Model Predictive Control

Online Learning

Top Venues

Publications

Ashok Cutkosky, Zakaria Mhammedi
Fully Unconstrained Online Learning. CoRR (2024)
Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
The Power of Resets in Online Reinforcement Learning. CoRR (2024)
Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL. ICML (2023)
Khashayar Gatmiry, Zakaria Mhammedi
Projection-Free Online Convex Optimization via Efficient Newton Iterations. CoRR (2023)
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
Model Predictive Control via On-Policy Imitation Learning. L4DC (2023)
Zakaria Mhammedi, Khashayar Gatmiry
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization. COLT (2023)
Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
Smooth Model Predictive Control with Applications to Statistical Learning. CoRR (2023)
Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL. CoRR (2023)
Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
Efficient Model-Free Exploration in Low-Rank MDPs. NeurIPS (2023)
Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
Efficient Model-Free Exploration in Low-Rank MDPs. CoRR (2023)
Zakaria Mhammedi
Efficient Projection-Free Online Convex Optimization with Membership Oracle. COLT (2022)
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
Model Predictive Control via On-Policy Imitation Learning. CoRR (2022)
Zakaria Mhammedi, Khashayar Gatmiry
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization. CoRR (2022)
Zakaria Mhammedi, Alexander Rakhlin
Damped Online Newton Step for Portfolio Selection. COLT (2022)
Zakaria Mhammedi, Alexander Rakhlin
Damped Online Newton Step for Portfolio Selection. CoRR (2022)
Zakaria Mhammedi
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning. CoRR (2022)
Zakaria Mhammedi
Risk Monotonicity in Statistical Learning. NeurIPS (2021)
Zakaria Mhammedi
Efficient Projection-Free Online Convex Optimization with Membership Oracle. CoRR (2021)
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
Learning the Linear Quadratic Regulator from Nonlinear Observations. CoRR (2020)
Zakaria Mhammedi, Wouter M. Koolen
Lipschitz and Comparator-Norm Adaptivity in Online Learning. CoRR (2020)
Zakaria Mhammedi, Wouter M. Koolen
Lipschitz and Comparator-Norm Adaptivity in Online Learning. COLT (2020)
Zakaria Mhammedi, Hisham Husain
Risk-Monotonicity via Distributional Robustness. CoRR (2020)
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
Learning the Linear Quadratic Regulator from Nonlinear Observations. NeurIPS (2020)
Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson
PAC-Bayesian Bound for the Conditional Value at Risk. CoRR (2020)
Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson
PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS (2020)
Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. COLT (2019)
Zakaria Mhammedi, Peter D. Grünwald, Benjamin Guedj
PAC-Bayes Un-Expected Bernstein Inequality. CoRR (2019)
Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. CoRR (2019)
Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj
PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS (2019)
Zakaria Mhammedi, Robert C. Williamson
Constant Regret, Generalized Mixability, and Mirror Descent. CoRR (2018)
Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR (2018)
Zakaria Mhammedi, Robert C. Williamson
Constant Regret, Generalized Mixability, and Mirror Descent. NeurIPS (2018)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML (2017)
Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. IJCAI (2017)
Xingjun Ma, James Bailey, Sudanthi N. R. Wijewickrema, Shuo Zhou, Zakaria Mhammedi, Yun Zhou, Stephen J. O'Leary
Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. CoRR (2017)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR (2016)