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stat.ML2025
Interpretable Kernels
Patrick J. F. Groenen, Michael Greenacre
The use of kernels for nonlinear prediction is widespread in machine learning. They have been popularized in support vector machines and used in kernel ridge regression, amongst ot…
stat.ML2024
Clusterpath Gaussian Graphical Modeling
D. J. W. Touw, A. Alfons, P. J. F. Groenen +1
Graphical models serve as effective tools for visualizing conditional dependencies between variables. However, as the number of variables grows, interpretation becomes increasingly…