SML group at ETH

Welcome to the website of the Statistical Machine Learning group at ETH Zurich!

We are a group of curious minds from different parts of the world who study exciting questions in the intersection of statistics and machine learning. On a high level, we like to develop theoretical understanding for methodological advancements and vice versa.

Most projects in our group revolve around trustworthy modern machine learning including robust inference against attacks during training and test time, generalization of overparameterized models, as well as questions arising around sample-efficient causal inference and privacy preservation of sensitive data. We are also exploring the fundamental limits, methodologies and trade-offs between different notions of trustworthiness such as (train and test-time) robustness, privacy and fairness. Please have a look at our recent papers to get a better sense for our research interests.