Alexander G. de G. Matthews
4 papers · 2016–2020 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Hot Topic Early Bird
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Conference Pioneer
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Venues
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Research topics
Keywords
gaussian process
(3)
variational inference
(2)
kullback-leibler divergence
(2)
bayesian inference
(2)
automatic differentiation
(1)
sparse approximation
(1)
stochastic process
(1)
inducing point
(1)
inducing variable
(1)
continual learning
(1)
neural network
(1)
catastrophic forgetting
(1)
gaussian processes
(1)
deep learning
(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