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Gaussian Process Kernels for Pattern Discovery and Extrapolation.

, and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1067-1075. JMLR.org, (2013)

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SWALP : Stochastic Weight Averaging in Low Precision Training., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7015-7024. PMLR, (2019)Modelling Input Varying Correlations between Multiple Responses., and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 858-861. Springer, (2012)Deep Kernel Learning., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 370-378. JMLR.org, (2016)Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning., , , , and . ICLR, OpenReview.net, (2020)Residual Pathway Priors for Soft Equivariance Constraints., , and . NeurIPS, page 30037-30049. (2021)Scalable Levy Process Priors for Spectral Kernel Learning., , , and . NIPS, page 3940-3949. (2017)Bayesian GAN., and . NIPS, page 3622-3631. (2017)Conditioning Sparse Variational Gaussian Processes for Online Decision-making., , and . NeurIPS, page 6365-6379. (2021)BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization., , , , , , and . NeurIPS, (2020)PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization., , , , , and . NeurIPS, (2022)