We stand with Ukraine  

Oskar Allerbo

Orcid: 0000-0002-5926-0830

According to our database1, Oskar Allerbo authored at least 9 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Rigorous, Tractable Measure of Model Complexity.
[BibTeX]
[DOI]
Oskar Allerbo
,
Thomas B. Schön
CoRR, May, 2026

2025
Supervised Models Can Generalize Also When Trained on Random Labels.
[BibTeX]
[DOI]
Oskar Allerbo
,
Thomas B. Schön
CoRR, May, 2025

2023
Efficient training of interpretable, non-linear regression models.
[BibTeX]
[DOI]
Oskar Allerbo
PhD thesis, 2023

Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net.
[BibTeX]
[DOI]
Oskar Allerbo
,
Johan Jonasson
,
Rebecka Jörnsten
J. Mach. Learn. Res., 2023

Solving Kernel Ridge Regression with Gradient Descent for a Non-Constant Kernel.
[BibTeX]
[DOI]
Oskar Allerbo
CoRR, 2023

Solving Kernel Ridge Regression with Gradient-Based Optimization Methods.
[BibTeX]
[DOI]
Oskar Allerbo
,
Rebecka Jörnsten
CoRR, 2023

2022
Flexible, non-parametric modeling using regularized neural networks.
[BibTeX]
[DOI]
Oskar Allerbo
,
Rebecka Jörnsten
Comput. Stat., 2022

Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control.
[BibTeX]
[DOI]
Oskar Allerbo
,
Rebecka Jörnsten
CoRR, 2022

2021
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders.
[BibTeX]
[DOI]
Oskar Allerbo
,
Rebecka Jörnsten
J. Mach. Learn. Res., 2021


  Loading...