
Zakaria Mhammedi
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2020 – today
- 2020
- [c9]Zakaria Mhammedi, Wouter M. Koolen:
Lipschitz and Comparator-Norm Adaptivity in Online Learning. COLT 2020: 2858-2887 - [c8]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 - [c7]Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson:
PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS 2020 - [i9]Zakaria Mhammedi, Wouter M. Koolen:
Lipschitz and Comparator-Norm Adaptivity in Online Learning. CoRR abs/2002.12242 (2020) - [i8]Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson:
PAC-Bayesian Bound for the Conditional Value at Risk. CoRR abs/2006.14763 (2020) - [i7]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 abs/2010.03799 (2020) - [i6]Zakaria Mhammedi, Hisham Husain:
Risk-Monotonicity via Distributional Robustness. CoRR abs/2011.14126 (2020)
2010 – 2019
- 2019
- [c6]Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven:
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. COLT 2019: 2490-2511 - [c5]Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj:
PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS 2019: 12180-12191 - [i5]Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven:
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. CoRR abs/1902.10797 (2019) - [i4]Zakaria Mhammedi, Peter D. Grünwald, Benjamin Guedj
:
PAC-Bayes Un-Expected Bernstein Inequality. CoRR abs/1905.13367 (2019) - 2018
- [c4]Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi:
Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR 2018: 4460-4469 - [c3]Zakaria Mhammedi, Robert C. Williamson:
Constant Regret, Generalized Mixability, and Mirror Descent. NeurIPS 2018: 7430-7439 - [i3]Zakaria Mhammedi, Robert C. Williamson:
Constant Regret, Generalized Mixability, and Mirror Descent. CoRR abs/1802.06965 (2018) - 2017
- [c2]Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey:
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML 2017: 2401-2409 - [c1]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: 3763-3769 - [i2]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 abs/1703.01460 (2017) - 2016
- [i1]Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey:
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR abs/1612.00188 (2016)
Coauthor Index

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