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Scalable GAM using sparse variational Gaussian processes., , and . CoRR, (2018)The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1945-1953. PMLR, (2021)Matérn Gaussian Processes on Graphs., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2593-2601. PMLR, (2021)Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC., , , and . CoRR, (2019)Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation., , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 431-446. Springer, (2020)Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (2): 656-666 (2021)Kernel Identification Through Transformers., , , , , and . NeurIPS, page 10483-10495. (2021)Regret Bounds for Noise-Free Bayesian Optimization., , and . CoRR, (2020)Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints., , , and . SIAM/ASA J. Uncertain. Quantification, 6 (3): 1224-1255 (2018)ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis., , , and . J. Multivar. Anal., (2013)