Alexander G. de G. Matthews

4 papers · 2016–2020 · 3 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Conferences

ICLR (2) AISTATS (1) JMLR (1)

Top co-authors

Zoubin Ghahramani (3) James Hensman (2) Jonathan Schwarz (1) Keisuke Fujii (1) Richard Turner (1) Tom Nickson (1) Mark van der Wilk (1) Richard E. Turner (1) Razvan Pascanu (1) Pablo León-Villagrá (1)

Keywords

variational inference (2) gaussian processes (1) automatic differentiation (1) gaussian process (1) kullback-leibler divergence (1) sparse approximation (1) stochastic process (1) inducing variable (1)

Papers

Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020

Gaussian Process Behaviour in Wide Deep Neural Networks ICLR 2018

GPflow: A Gaussian Process Library using TensorFlow JMLR 2017

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016