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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
1562017
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
612018
PAC-Bayes un-expected Bernstein inequality
Z Mhammedi, P Grünwald, B Guedj
Advances in Neural Information Processing Systems 32, 2019
492019
Lipschitz and comparator-norm adaptivity in online learning
Z Mhammedi, WM Koolen
Conference on Learning Theory, 2858-2887, 2020
462020
Learning the linear quadratic regulator from nonlinear observations
Z Mhammedi, DJ Foster, M Simchowitz, D Misra, W Sun, A Krishnamurthy, ...
Advances in Neural Information Processing Systems 33, 14532-14543, 2020
422020
Pac-bayesian bound for the conditional value at risk
Z Mhammedi, B Guedj, RC Williamson
Advances in Neural Information Processing Systems 33, 17919-17930, 2020
252020
Lipschitz adaptivity with multiple learning rates in online learning
Z Mhammedi, WM Koolen, T Van Erven
Conference on Learning Theory, 2490-2511, 2019
232019
Efficient projection-free online convex optimization with membership oracle
Z Mhammedi
Conference on Learning Theory, 5314-5390, 2022
212022
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
142016
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
132017
Representation learning with multi-step inverse kinematics: An efficient and optimal approach to rich-observation rl
Z Mhammedi, DJ Foster, A Rakhlin
International Conference on Machine Learning, 24659-24700, 2023
122023
Damped online Newton step for portfolio selection
Z Mhammedi, A Rakhlin
Conference on Learning Theory, 5561-5595, 2022
112022
Risk monotonicity in statistical learning
Z Mhammedi
Advances in Neural Information Processing Systems 34, 10732-10744, 2021
102021
Constant regret, generalized mixability, and mirror descent
Z Mhammedi, RC Williamson
Advances in Neural Information Processing Systems 31, 2018
72018
Efficient model-free exploration in low-rank mdps
Z Mhammedi, A Block, DJ Foster, A Rakhlin
Advances in Neural Information Processing Systems 36, 2024
62024
Exploiting the curvature of feasible sets for faster projection-free online learning
Z Mhammedi
arXiv preprint arXiv:2205.11470, 2022
52022
Quasi-newton steps for efficient online exp-concave optimization
Z Mhammedi, K Gatmiry
The Thirty Sixth Annual Conference on Learning Theory, 4473-4503, 2023
22023
Exponential Stochastic Inequality
PD Grünwald, MF Pérez-Ortiz, Z Mhammedi
arXiv preprint arXiv:2304.14217, 2023
22023
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
22017
Projection-Free Online Convex Optimization via Efficient Newton Iterations
K Gatmiry, Z Mhammedi
Advances in Neural Information Processing Systems 36, 2024
12024
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