Oskar Allerbo

Doctoral Student at Applied Mathematics and Statistics

Ph.D. student in mathematical statistics with focus on biostatistics.

Source: chalmers.se
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Showing 4 publications

2023

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

Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten
Journal of Machine Learning Research. Vol. 24, p. 1-35
Journal article
2022

Flexible, non-parametric modeling using regularized neural networks

Oskar Allerbo, Rebecka Jörnsten
Computational Statistics. Vol. 37 (4), p. 2029-2047
Journal article
2021

Non-linear, sparse dimensionality reduction via path lasso penalized autoencoders

Oskar Allerbo, Rebecka Jörnsten
Journal of Machine Learning Research. Vol. 22
Journal article
2011

Simulations of lipid vesicle rupture induced by an adjacent supported lipid bilayer patch

Oskar Allerbo, Anders Lundström, Kristian Dimitrievski
Colloids and Surfaces B: Biointerfaces. Vol. 82 (2), p. 632-636
Journal article

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Showing 1 research projects

2015–2018

Centre of excellence for Global Systems Science (CoeGSS)

Patrik Jansson Software Technology (Chalmers)
Devdatt Dubhashi Computing Science (Chalmers)
Michal Palka Software Technology (Chalmers)
Oskar Allerbo Computing Science (Chalmers)
Cezar Ionescu Software Technology (Chalmers)
European Commission (EC)

5 publications exist
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