My name is Konstantin Donhauser and I am a first year PhD student at the ETH Zurich AI center supervised by Fanny Yang and co-supervised by Afonso Bandeira. I have a Masters and Bachelors degree in Electrical Engineering and a Bachelors degree in Mathematics all from the ETH Zurich.
My research focus can broadly be summarized as anything related to the theoretical aspects of machine learning. In particular, I have recently worked on topics related to high dimensional statistics, interpolation theory and adversarial robustness.
Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser*, Alexandru Tifrea*, Michael Aerni, Reinhard Heckel, Fanny Yang
Presented at the Adversarial machine learning AML workshop (classification part) and Overparameterization OPPO workshop (regression part) at ICML 2021
[preprint], AdvML: [paper, poster,video], OPPO: [paper, poster]
How rotational invariance of common kernels prevents generalization in high dimensions
Konstantin Donhauser, Mingqi Wu, Fanny Yang
Presented at International Conference on Machine Learning, ICML 2021
[arxiv, proceedings, poster, video]