Oskar Allerbo

According to our database, Oskar Allerbo authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Supervised Models Can Generalize Also When Trained on Random Labels.

Oskar Allerbo, Thomas B. Schön

CoRR, May, 2025

2023

Efficient training of interpretable, non-linear regression models.

Oskar Allerbo

PhD thesis, 2023

Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net.

Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten

J. Mach. Learn. Res., 2023

Solving Kernel Ridge Regression with Gradient Descent for a Non-Constant Kernel.

Oskar Allerbo

CoRR, 2023

Solving Kernel Ridge Regression with Gradient-Based Optimization Methods.

Oskar Allerbo, Rebecka Jörnsten

CoRR, 2023

2022

Flexible, non-parametric modeling using regularized neural networks.

Oskar Allerbo, Rebecka Jörnsten

Comput. Stat., 2022

Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control.

Oskar Allerbo, Rebecka Jörnsten

CoRR, 2022

2021

Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders.

Oskar Allerbo, Rebecka Jörnsten

J. Mach. Learn. Res., 2021