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stat.ML2022
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
Oskar Allerbo, Rebecka Jörnsten
Most machine learning methods require tuning of hyper-parameters. For kernel ridge regression with the Gaussian kernel, the hyper-parameter is the bandwidth. The bandwidth specifie…
stat.ML2021
Robust Neural Network Classification via Double Regularization
Olof Zetterqvist, Rebecka Jörnsten, Johan Jonasson
The presence of mislabeled observations in data is a notoriously challenging problem in statistics and machine learning, associated with poor generalization properties for both tra…