Zak Mhammedi
Zak Mhammedi
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Risk-Monotonicity in Statistical Learning
Pre-print 2020
Risk-Monotonicity via Distributional Robustness
Pre-print 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations
NeurIPS 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning
COLT 2020
PAC-Bayesian Bound for the Conditional Value at Risk
NeurIPS 2020 (Spotlight Presentation${}^{\star}$)
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
COLT 2019
PAC-Bayes Un-Expected Bernstein Inequality
NeurIPS 2019
Geometry Aware Constrained Optimization Techniques for Deep Learning
CVPR 2018
Constant Regret, Generalized Mixability, and Mirror Descent
NeurIPS 2018 (Spotlight Presentation${}^{\star}$)
Efficient orthogonal parametrisation of Recurrent Neural Networks using householder reflections
ICML 2017
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