3 papers
stat.ML2026
A Rigorous, Tractable Measure of Model Complexity
Oskar Allerbo, Thomas B. Schön
An accurate assessment of a model's complexity is crucial for topics such as interpretation, generalization, and model selection. However, most existing complexity measures either…
stat.ML2025
Is Supervised Learning Really That Different from Unsupervised?
Oskar Allerbo, Thomas B. Schön
We demonstrate how supervised learning can be decomposed into a two-stage procedure, where (1) all model parameters are selected in an unsupervised manner, and (2) the outputs y ar…
stat.ML2023
Changing the Kernel During Training Leads to Double Descent in Kernel Regression
Oskar Allerbo
We investigate changing the bandwidth of a translational-invariant kernel during training when solving kernel regression with gradient descent. We present a theoretical bound on th…