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Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2931-2940. PMLR, (2019)Adaptive Sequential Bayesian Change Point Detection, , and . Advances in Neural Information Processing Systems (NIPS): Temporal Segmentation Workshop, (2009)Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models., , , , , and . Pacific Symposium on Biocomputing, page 399-410. World Scientific, (2004)Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control., , , and . Autom., (2020)Deep Structured Mixtures of Gaussian Processes., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2251-2261. PMLR, (2020)Improving Sample-Efficiency in Reinforcement Learning for Dialogue Systems by Using Trainable-Action-Mask., , and . ICASSP, page 8024-8028. IEEE, (2020)Kernel Identification Through Transformers., , , , , and . NeurIPS, page 10483-10495. (2021)Marginalised Gaussian Processes with Nested Sampling., , and . NeurIPS, page 13613-13625. (2021)Gaussian Process Training with Input Noise., and . NIPS, page 1341-1349. (2011)Occam's Razor., and . NIPS, page 294-300. MIT Press, (2000)