On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes - researchr publication authors

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Tim G. J. Rudner, Oscar Key, Yarin Gal, Tom Rainforth. On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 9148-9156, PMLR, 2021. [doi]

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