Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks

Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel. Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 30252-30284, PMLR, 2023. [doi]

Abstract

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