de G. Matthews, Alexander G.

6 publications

ICLRW 2022 Annealed Importance Sampling Meets Score Matching Arnaud Doucet, Will Sussman Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann

ICLR 2020 Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews, Razvan Pascanu, Yee Whye Teh

ICLR 2018 Gaussian Process Behaviour in Wide Deep Neural Networks Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani

MLOSS 2017 GPflow: A Gaussian Process Library Using TensorFlow Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

AISTATS 2016 On Sparse Variational Methods and the Kullback-Leibler Divergence Between Stochastic Processes Alexander G. de G. Matthews, James Hensman, Richard E. Turner, Zoubin Ghahramani

AISTATS 2015 Scalable Variational Gaussian Process Classification James Hensman, Alexander G. de G. Matthews, Zoubin Ghahramani