1.6k citations · 1.8k across the 18 of their papers we have counts for
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Attribution-based Explanations that Provide Recourse Cannot be Robust
Hidde Fokkema, Rianne de Heide, Tim van Erven
Different users of machine learning methods require different explanations, depending on their goals. To make machine learning accountable to society, one important goal is to get…
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
Sarah Sachs, Hédi Hadiji, Tim van Erven +1
Stochastic and adversarial data are two widely studied settings in online learning. But many optimization tasks are neither i.i.d. nor fully adversarial, which makes it of fundamen…
Scale-free Unconstrained Online Learning for Curved Losses
Jack J. Mayo, Hédi Hadiji, Tim van Erven
A sequence of works in unconstrained online convex optimisation have investigated the possibility of adapting simultaneously to the norm of the comparator and the maximum norm…