Articles with public access mandates - Zakaria MhammediLearn more
Not available anywhere: 1
Adaptivity in Online and Statistical Learning
Z Mhammedi
The Australian National University, 2021
Mandates: Australian Research Council
Available somewhere: 13
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
Mandates: Australian Research Council
PAC-Bayes un-expected Bernstein inequality
Z Mhammedi, P Grünwald, B Guedj
Advances in Neural Information Processing Systems 32, 2019
Mandates: Australian Research Council
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
Mandates: US National Science Foundation, US Department of Defense
Lipschitz adaptivity with multiple learning rates in online learning
Z Mhammedi, WM Koolen, T Van Erven
Conference on Learning Theory, 2490-2511, 2019
Mandates: Australian Research Council
Efficient projection-free online convex optimization with membership oracle
Z Mhammedi
Conference on Learning Theory, 5314-5390, 2022
Mandates: US Department of Defense
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
Mandates: Australian Research Council
Damped online Newton step for portfolio selection
Z Mhammedi, A Rakhlin
Conference on Learning Theory, 5561-5595, 2022
Mandates: US Department of Defense
Efficient model-free exploration in low-rank mdps
Z Mhammedi, A Block, DJ Foster, A Rakhlin
Advances in Neural Information Processing Systems 36, 2024
Mandates: US National Science Foundation, US Department of Defense
Risk monotonicity in statistical learning
Z Mhammedi
Advances in Neural Information Processing Systems 34, 10732-10744, 2021
Mandates: Australian Research Council
Model predictive control via on-policy imitation learning
K Ahn, Z Mhammedi, H Mania, ZW Hong, A Jadbabaie
Learning for Dynamics and Control Conference, 1493-1505, 2023
Mandates: US Department of Defense
Constant regret, generalized mixability, and mirror descent
Z Mhammedi, RC Williamson
Advances in Neural Information Processing Systems 31, 2018
Mandates: Australian Research Council
Quasi-newton steps for efficient online exp-concave optimization
Z Mhammedi, K Gatmiry
The Thirty Sixth Annual Conference on Learning Theory, 4473-4503, 2023
Mandates: US Department of Defense
Projection-Free Online Convex Optimization via Efficient Newton Iterations
K Gatmiry, Z Mhammedi
Advances in Neural Information Processing Systems 36, 2024
Mandates: US Department of Defense
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