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math.ST2022★ 1 cited
E-Statistics, Group Invariance and Anytime Valid Testing
Muriel Felipe Pérez-Ortiz, Tyron Lardy, Rianne de Heide +1
We study worst-case-growth-rate-optimal (GROW) e-statistics for hypothesis testing between two group models. It is known that under a mild condition on the action of the underlying…
stat.ML2022★ 7 cited
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…