Zak Mhammedi
Zak Mhammedi
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Conference paper
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2020
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Zak Mhammedi
,
Hisham Husain
(2020).
Risk-Monotonicity in Statistical Learning
.
arXiv:2011.14126 [cs, stat]
.
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Pre-Print
Zak Mhammedi
,
Dylan J. Foster
,
Max Simchowitz
,
Dipendra Misra
,
Wen Sun
,
Akshay Krishnamurthy
,
Alexander Rakhlin
,
John Langford
(2020).
Learning the Linear Quadratic Regulator from Nonlinear Observations
.
arXiv:2010.03799 [cs, math, stat]
.
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Pre-Print
Poster
Zak Mhammedi
,
Wouter M. Koolen
(2020).
Lipschitz and Comparator-Norm Adaptivity in Online Learning
.
Conference on Learning Theory
.
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Talk
Zak Mhammedi
,
Benjamin Guedj
,
Robert C. Williamson
(2020).
PAC-Bayesian Bound for the Conditional Value at Risk
.
arXiv:2006.14763 [cs, stat]
.
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Pre-Print
Poster
Zak Mhammedi
,
Wouter M. Koolen
,
Tim Van Erven
(2019).
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
.
Conference on Learning Theory
.
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Talk
Zak Mhammedi
,
Peter Grünwald
,
Benjamin Guedj
(2019).
PAC-Bayes Un-Expected Bernstein Inequality
.
Advances in Neural Information Processing Systems 32
.
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Poster
Soumava Kumar Roy
,
Zak Mhammedi
,
Mehrtash Harandi
(2018).
Geometry Aware Constrained Optimization Techniques for Deep Learning
.
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
.
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Zak Mhammedi
,
Robert C Williamson
(2018).
Constant Regret, Generalized Mixability, and Mirror Descent
.
NeurIPS 2018
.
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Talk
Zak Mhammedi
,
Andrew Hellicar
,
Ashfaqur Rahman
,
James Bailey
(2017).
Efficient orthogonal parametrisation of Recurrent Neural Networks using householder reflections
.
Proceedings of the 34th International Conference on Machine Learning - Volume 70
.
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Xingjun Ma
,
Sudanthi Wijewickrema
,
Shuo Zhou
,
Yun Zhou
,
Zakaria Mhammedi
,
Stephen O'Leary
,
James Bailey
(2017).
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training
.
Electronic proceedings of IJCAI 2017
.
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