Zakaria Mhammedi
Zakaria Mhammedi
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Efficient orthogonal parametrisation of recurrent neural networks using householder reflections
Z Mhammedi, A Hellicar, A Rahman, J Bailey
International Conference on Machine Learning, 2401-2409, 2017
Geometry aware constrained optimization techniques for deep learning
SK Roy, Z Mhammedi, M Harandi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
PAC-Bayes Un-Expected Bernstein Inequality
Z Mhammedi, PD Grunwald, B Guedj
arXiv preprint arXiv:1905.13367, 2019
Adversarial generation of real-time feedback with neural networks for simulation-based training
X Ma, S Wijewickrema, S Zhou, Y Zhou, Z Mhammedi, S O'Leary, J Bailey
arXiv preprint arXiv:1703.01460, 2017
Recurrent neural networks for one day ahead prediction of stream flow
Z Mhammedi, A Hellicar, A Rahman, K Kasfi, P Smethurst
Proceedings of the Workshop on Time Series Analytics and Applications, 25-31, 2016
Lipschitz and comparator-norm adaptivity in online learning
Z Mhammedi, WM Koolen
Conference on Learning Theory, 2858-2887, 2020
Pac-bayesian bound for the conditional value at risk
Z Mhammedi, B Guedj, RC Williamson
arXiv preprint arXiv:2006.14763, 2020
Lipschitz adaptivity with multiple learning rates in online learning
Z Mhammedi, WM Koolen, T Van Erven
Conference on Learning Theory, 2490-2511, 2019
Learning the linear quadratic regulator from nonlinear observations
Z Mhammedi, DJ Foster, M Simchowitz, D Misra, W Sun, A Krishnamurthy, ...
arXiv preprint arXiv:2010.03799, 2020
Constant regret, generalized mixability, and mirror descent
Z Mhammedi, RC Williamson
arXiv preprint arXiv:1802.06965, 2018
Extracting real-time feedback with neural networks for simulation-based learning
X Ma, J Bailey, S Wijewickrema, S Zhou, Z Mhammedi, Y Zhou, S O’Leary
arXiv preprint arXiv:1703.01460, 2017
Risk-Monotonicity in Statistical Learning
Z Mhammedi, H Husain
arXiv preprint arXiv:2011.14126, 2020
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