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