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Risk-Monotonicity in Statistical Learning


Dec 24, 2020
Zakaria Mhammedi, Hisham Husain


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Risk-Monotonicity via Distributional Robustness


Dec 16, 2020
Zakaria Mhammedi, Hisham Husain

* There is a mistake in one of the derivations. It can be fixed, but the paper will change significantly 

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Learning the Linear Quadratic Regulator from Nonlinear Observations


Oct 08, 2020
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

* To appear at NeurIPS 2020 

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PAC-Bayesian Bound for the Conditional Value at Risk


Jun 26, 2020
Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson


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Lipschitz and Comparator-Norm Adaptivity in Online Learning


Feb 27, 2020
Zakaria Mhammedi, Wouter M. Koolen

* 30 Pages, 1 Figure 

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PAC-Bayes Un-Expected Bernstein Inequality


May 31, 2019
Zakaria Mhammedi, Peter D. Grunwald, Benjamin Guedj

* 20 pages, 2 figures 

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Lipschitz Adaptivity with Multiple Learning Rates in Online Learning


Feb 27, 2019
Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven

* 22 pages 

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Constant Regret, Generalized Mixability, and Mirror Descent


Oct 31, 2018
Zakaria Mhammedi, Robert C. Williamson

* 48 pages, accepted to NIPS 2018 

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Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections


Jun 13, 2017
Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman, James Bailey

* 12 pages, 5 figures 

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Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training


May 23, 2017
Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey

* Appeared in the Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, 2017 

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