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Oskar Allerbo
Oskar Allerbo
Postdoctoral Researcher, Mathematical Statistics, KTH
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Simulations of lipid vesicle rupture induced by an adjacent supported lipid bilayer patch
O Allerbo, A Lundström, K Dimitrievski
Colloids and Surfaces B: Biointerfaces 82 (2), 632-636, 2011
112011
Solving kernel ridge regression with gradient-based optimization methods
O Allerbo
arXiv preprint arXiv:2306.16838, 2023
22023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
O Allerbo, J Jonasson, R Jörnsten
Journal of Machine Learning Research 24 (277), 1-53, 2023
22023
Flexible, non-parametric modeling using regularized neural networks
O Allerbo, R Jörnsten
Computational Statistics 37 (4), 2029-2047, 2022
22022
Non-linear, sparse dimensionality reduction via path Lasso penalized autoencoders
O Allerbo, R Jörnsten
Journal of Machine Learning Research 22 (283), 1-28, 2021
12021
Solving Kernel Ridge Regression with Gradient Descent for a Non-Constant Kernel
O Allerbo
arXiv preprint arXiv:2311.01762, 2023
2023
Efficient training of interpretable, non-linear regression models
O Allerbo
2023
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
O Allerbo, R Jörnsten
arXiv preprint arXiv:2205.11956, 2022
2022
Lasso Regularized Neural Networks
O Allerbo
2020
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