GP inducing features

October 16, 2020 — October 26, 2020

algebra

approximation

Gaussian

generative

graphical models

Hilbert space

kernel tricks

machine learning

networks

optimization

probability

spheres

statistics

TBD

Figure 1

1 References

Dutordoir, Durrande, and Hensman. 2020. “Sparse Gaussian Processes with Spherical Harmonic Features.” In Proceedings of the 37th International Conference on Machine Learning. ICML’20.

Dutordoir, Hensman, van der Wilk, et al. 2021. “Deep Neural Networks as Point Estimates for Deep Gaussian Processes.” In arXiv:2105.04504 [Cs, Stat].

Lázaro-Gredilla, and Figueiras-Vidal. 2009. “Inter-Domain Gaussian Processes for Sparse Inference Using Inducing Features.” In Advances in Neural Information Processing Systems.

Rossi, Heinonen, Bonilla, et al. 2021. “Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics.

Shi, Titsias, and Mnih. 2020. “Sparse Orthogonal Variational Inference for Gaussian Processes.” In Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics.

Tiao, Dutordoir, and Picheny. 2023. “Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes.” In.