Alexander G. de G. Matthews

Identifiers

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Papers (7)

1. Variational Bayesian dropout: pitfalls and fixes stat.ML · 2018 · author #2
2. Gaussian Process Behaviour in Wide Deep Neural Networks stat.ML · 2018 · author #1
3. Variational Gaussian Dropout is not Bayesian stat.ML · 2017 · author #2
4. Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks stat.ML · 2017 · author #2
5. GPflow: A Gaussian process library using TensorFlow stat.ML · 2016 · author #1
6. MCMC for Variationally Sparse Gaussian Processes stat.ML · 2015 · author #2
7. On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes stat.ML · 2015 · author #1

Mentions

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Frequent Coauthors

• Zoubin Ghahramani 7 shared papers
• James Hensman 3 shared papers
• Jiri Hron 3 shared papers
• Richard E. Turner 2 shared papers
• Alexis Boukouvalas 1 shared papers
• John Bradshaw 1 shared papers
• Keisuke Fujii 1 shared papers
• Mark Rowland 1 shared papers
• Mark van der Wilk 1 shared papers
• Maurizio Filippone 1 shared papers
• Pablo Le\'on-Villagr\'a 1 shared papers
• Tom Nickson 1 shared papers