Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks

Alisa Sheinkman, Sara Wade. Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks. In Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama 0001, editors, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII. Volume 16019 of Lecture Notes in Computer Science, pages 129-146, Springer, 2025. [doi]

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