Julius von Kügelgen

Anchor PCA reveals that focusing on shared variation across domains can significantly enhance the robustness of unsupervised dimension reduction, outperforming traditional pooling methods.

A novel Bayesian approach reveals how to extract high-level causal concepts from diverse environments, shedding light on the intricate dynamics of cultural and political influences.