66 citations · 132 across the 11 of their papers we have counts for
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stat.ML2022
Deep interpretable ensembles
Lucas Kook, Andrea Götschi, Philipp FM Baumann +2
Ensembles improve prediction performance and allow uncertainty quantification by aggregating predictions from multiple models. In deep ensembling, the individual models are usually…
stat.ML2022
Bernstein Flows for Flexible Posteriors in Variational Bayes
Oliver Dürr, Stephan Hörling, Daniel Dold +2
Variational inference (VI) is a technique to approximate difficult to compute posteriors by optimization. In contrast to MCMC, VI scales to many observations. In the case of comple…