54 citations · 63 across the 8 of their papers we have counts for
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stat.ML2021★ 2 cited
A theory of representation learning gives a deep generalisation of kernel methods
Adam X. Yang, Maxime Robeyns, Edward Milsom +3
The successes of modern deep machine learning methods are founded on their ability to transform inputs across multiple layers to build good high-level representations. It is theref…
stat.ML2020★ 2 cited
Deep kernel processes
Laurence Aitchison, Adam X. Yang, Sebastian W. Ober
We define deep kernel processes in which positive definite Gram matrices are progressively transformed by nonlinear kernel functions and by sampling from (inverse) Wishart distribu…