16 citations · 73 across the 12 of their papers we have counts for
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stat.ML2025
Is Supervised Learning Really That Different from Unsupervised?
Oskar Allerbo, Thomas B. Schön
We demonstrate how supervised learning can be decomposed into a two-stage procedure, where (1) all model parameters are selected in an unsupervised manner, and (2) the outputs y ar…
stat.ML2022
Surprises in adversarially-trained linear regression
Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
State-of-the-art machine learning models can be vulnerable to very small input perturbations that are adversarially constructed. Adversarial training is an effective approach to de…
stat.ML2022★ 10 cited
Overparameterized Linear Regression under Adversarial Attacks
Antônio H. Ribeiro, Thomas B. Schön
We study the error of linear regression in the face of adversarial attacks. In this framework, an adversary changes the input to the regression model in order to maximize the predi…