Blog – Page 14 – machine-learning-2020

Keyon Vafa

Training and Inference for Deep Gaussian Processes

Nicolas Durrande’s homepage (kernel based methods for interpolation or approximation problems, both from the Gaussian process and RKHS point of view) Phd Thesis (in French) Phd Thesis (slides in English)

Étude de classes de noyaux adaptées à la simplification et à l’interprétation des modèles d’approximation. Une approche fonctionnelle et probabiliste

Nicolas Durrande

Parametric estimation of covariance function in Gaussian-process based Kriging models. Application to uncertainty quantification for computer experiments

Francois Bachoc

Reproducing Kernel Hilbert Spaces In Probability and Statistics

Gaussian Process : Videos

Neil D. Lawrence

Videos

Neil Lawrence

Machine Learning Index of /home/neil/

Amund Tveit

Deep Learning with Gaussian Process

Andreas Damianou

personal homepage Publications