66 citations · 132 across the 11 of their papers we have counts for
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stat.ML2021
Transformation Models for Flexible Posteriors in Variational Bayes
Sefan Hörtling, Daniel Dold, Oliver Dürr +1
The main challenge in Bayesian models is to determine the posterior for the model parameters. Already, in models with only one or few parameters, the analytical posterior can only…
stat.ME2021★ 8 cited
Distributional Anchor Regression
Lucas Kook, Beate Sick, Peter Bühlmann
Prediction models often fail if train and test data do not stem from the same distribution. Out-of-distribution (OOD) generalization to unseen, perturbed test data is a desirable b…