Publications by Oskar Allerbo
Peer reviewed
Articles
[1]
Allerbo, O. (2025). Fast robust kernel regression through sign gradient descent with early stopping. Electronic Journal of Statistics, 19(1), 1231-1285.
[2]
Allerbo, O. (2023). Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net. Journal of machine learning research, 24(277), 1-53.
[3]
Allerbo, O. & Jörnsten, R. (2022). Flexible, non-parametric modeling using regularized neural networks. Computational statistics (Zeitschrift), 37(4), 2029-2047.
[4]
Allerbo, O. & Jörnsten, R. (2021). Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders. Journal of machine learning research, 22, 1-28.
[5]
Allerbo, O., Lundström, A. & Dimitrievski, K. (2011). Simulations of Lipid Vesicle Rupture Induced by an Adjacent Supported Lipid Bilayer Patch. Colloids and Surfaces B : Biointerfaces, 82, 632-636.
Non-peer reviewed
Other
[6]
Allerbo, O. (2023). Changing the Kernel During Training Leads to Double Descent in Kernel Regression. (Manuscript).
[7]
Allerbo, O., Jörnsten, R. (). Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control. (Manuscript).
[8]
Allerbo, O., Schön, T. (). Supervised Models Can Generalize Also When Trained on Random Labels. (Manuscript).
Latest sync with DiVA:
2025-09-13 22:57:20 UTC