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Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods.

, , , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 607-616. JMLR.org, (2015)

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Modelling Input Varying Correlations between Multiple Responses., and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 858-861. Springer, (2012)Automated Local Regression Discontinuity Design Discovery., , , and . KDD, page 1512-1520. ACM, (2018)Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever., , , and . BRACIS, page 61-66. IEEE Computer Society, (2017)SWALP : Stochastic Weight Averaging in Low Precision Training., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7015-7024. PMLR, (2019)Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 425-434. PMLR, (2018)Deep Kernel Learning., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 370-378. JMLR.org, (2016)Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction., , , and . CoRR, (2018)Deep Kernel Learning., , , and . CoRR, (2015)Bayesian Optimization with Gradients., , , and . NIPS, page 5267-5278. (2017)Scalable Levy Process Priors for Spectral Kernel Learning., , , and . NIPS, page 3940-3949. (2017)