Dutordoir, Vincent, Nicolas Durrande, and James Hensman. 2020. “Sparse Gaussian Processes with Spherical Harmonic Features.” In Proceedings of the 37th International Conference on Machine Learning, 119:2793–2802. ICML’20. JMLR.org.
Dutordoir, Vincent, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, and Nicolas Durrande. 2021. “Deep Neural Networks as Point Estimates for Deep Gaussian Processes.” In arXiv:2105.04504 [Cs, Stat].
Lázaro-Gredilla, Miguel, and Aníbal Figueiras-Vidal. 2009. “Inter-Domain Gaussian Processes for Sparse Inference Using Inducing Features.” In Advances in Neural Information Processing Systems. Vol. 22. Curran Associates, Inc.
Rossi, Simone, Markus Heinonen, Edwin Bonilla, Zheyang Shen, and Maurizio Filippone. 2021. “Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 1837–45. PMLR.
Shi, Jiaxin, Michalis Titsias, and Andriy Mnih. 2020. “Sparse Orthogonal Variational Inference for Gaussian Processes.” In Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 1932–42. PMLR.
Tiao, Louis C., Vincent Dutordoir, and Victor Picheny. 2023. “Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes.” In.