| 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 | 126 | 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 | 49 | 2018 |
| Lipschitz and comparator-norm adaptivity in online learning Z Mhammedi, WM Koolen Conference on Learning Theory, 2858-2887, 2020 | 27 | 2020 |
| PAC-Bayes un-expected Bernstein inequality Z Mhammedi, P Grünwald, B Guedj Advances in Neural Information Processing Systems 32, 2019 | 22 | 2019 |
| 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 | 20 | 2020 |
| 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 | 18 | 2020 |
| Lipschitz adaptivity with multiple learning rates in online learning Z Mhammedi, WM Koolen, T Van Erven Conference on Learning Theory, 2490-2511, 2019 | 17 | 2019 |
| 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 | 13 | 2016 |
| 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 | 12 | 2017 |
| Damped online Newton step for portfolio selection Z Mhammedi, A Rakhlin Conference on Learning Theory, 5561-5595, 2022 | 6 | 2022 |
| Risk monotonicity in statistical learning Z Mhammedi Advances in Neural Information Processing Systems 34, 10732-10744, 2021 | 6 | 2021 |
| Constant regret, generalized mixability, and mirror descent Z Mhammedi, RC Williamson Advances in Neural Information Processing Systems 31, 2018 | 6 | 2018 |
| Efficient projection-free online convex optimization with membership oracle Z Mhammedi Conference on Learning Theory, 5314-5390, 2022 | 5 | 2022 |
| 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 | 2 | 2017 |
| Quasi-Newton Steps for Efficient Online Exp-Concave Optimization Z Mhammedi, K Gatmiry arXiv preprint arXiv:2211.01357, 2022 | | 2022 |
| Model Predictive Control via On-Policy Imitation Learning K Ahn, Z Mhammedi, H Mania, ZW Hong, A Jadbabaie arXiv preprint arXiv:2210.09206, 2022 | | 2022 |
| Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning Z Mhammedi arXiv preprint arXiv:2205.11470, 2022 | | 2022 |
| Adaptivity in Online and Statistical Learning Z Mhammedi The Australian National University, 2021 | | 2021 |
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
