65 citations · 115 across the 19 of their papers we have counts for
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cs.AI2024★ 1 cited
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Jürgens, Nis Meinert, Viktor Bengs +2
Trustworthy ML systems should not only return accurate predictions, but also a reliable representation of their uncertainty. Bayesian methods are commonly used to quantify both ale…
cs.AI2022★ 65 cited
A Survey of Methods for Automated Algorithm Configuration
Elias Schede, Jasmin Brandt, Alexander Tornede +4
Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There is currently a wide variety of A…