Author

C. Oates

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Preprint Aug 2026

Why not to use the Gaussian kernel

Kernels measure similarity or correlation in tasks such as regression and classification. The Gaussian kernel, other names of which include squared exponential and radial basis function kernel, is one of the most popular in Gaussian process regression. We argue that the Gaussian kernel is best avoided and should never...

Toni Karvonen, C. Oates · 0 citations

#machine learning Preprint Sep 2026

A Distributional Optimisation Perspective on Combining Models in Deep Learning

Combining predictions from different models can improve performance at machine learning tasks, but the training of the individual models and the rule used to combine them are typically chosen separately, and by ad hoc means. Recent advances in distributional optimisation (i.e. where the optimisation occurs over the set...

Cong-Ye Wang, Yan-Kai Lin, Zhe-Yang Shen et al. · 0 citations