13 citations · 44 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
Bayesian Optimization-based Combinatorial Assignment
Jakob Weissteiner, Jakob Heiss, Julien Siems +1
We study the combinatorial assignment domain, which includes combinatorial auctions and course allocation. The main challenge in this domain is that the bundle space grows exponent…
cs.LG2021★ 5 cited
NOMU: Neural Optimization-based Model Uncertainty
Jakob Heiss, Jakob Weissteiner, Hanna Wutte +2
We study methods for estimating model uncertainty for neural networks (NNs) in regression. To isolate the effect of model uncertainty, we focus on a noiseless setting with scarce t…