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Constant-Time Predictive Distributions for Gaussian Processes.

G. Pleiss, J. Gardner, K. Weinberger, and A. Wilson. ICML, volume 80 of Proceedings of Machine Learning Research, page 4111-4120. PMLR, (2018)

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Alexander Wilson University of Stuttgart

Andrew Furze University of Stuttgart

Dr. Andrew Clark University of Stuttgart

Univ. -Prof. Dr. Peter Gordon Rötzel University of Stuttgart

Andrew Nelson Butterfield University of Stuttgart

Other publications of authors with the same name

Generalised Wishart Processes.A. Wilson, and Z. Ghahramani. UAI, page 736-744. AUAI Press, (2011)Deep Kernel Learning.A. Wilson, Z. Hu, R. Salakhutdinov, and E. Xing. CoRR, (2015)A Bayesian method to quantifying chemical composition using NMR: Application to porous media systems.Y. Wu, D. Holland, M. Mantle, A. Wilson, S. Nowozin, A. Blake, and L. Gladden. EUSIPCO, page 2515-2519. IEEE, (2014)Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction.W. Herlands, D. Neill, H. Nickisch, and A. Wilson. CoRR, (2018)Modelling Input Varying Correlations between Multiple Responses.A. Wilson, and Z. Ghahramani. ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 858-861. Springer, (2012)Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever.J. Albinati, W. Jr., G. Pappa, and A. Wilson. BRACIS, page 61-66. IEEE Computer Society, (2017)Automated Local Regression Discontinuity Design Discovery.W. Herlands, E. III, A. Wilson, and D. Neill. KDD, page 1512-1520. ACM, (2018)Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data.W. Herlands, E. McFowland, A. Wilson, and D. Neill. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 425-434. PMLR, (2018)Deep Kernel Learning.A. Wilson, Z. Hu, R. Salakhutdinov, and E. Xing. AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 370-378. JMLR.org, (2016)SWALP : Stochastic Weight Averaging in Low Precision Training.G. Yang, T. Zhang, P. Kirichenko, J. Bai, A. Wilson, and C. Sa. ICML, volume 97 of Proceedings of Machine Learning Research, page 7015-7024. PMLR, (2019)