Hennig, Philipp Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;
https://proceedings.mlr.press/v151/kristiadi22a.html (Publisher version)
https://doi.org/10.48550/arXiv.2106.10065 (Preprint)
Kristiadi, A., Hein, M., & Hennig, P. (2022). Being a Bit Frequentist Improves Bayesian Neural Networks. In G. Camps-Valls, F. J. R. Ruiz, & I. Valera (Eds.), Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022 (pp. 529-545). PMLR. Retrieved from https://proceedings.mlr.press/v151/kristiadi22a.html.