Causal Discovery under Scaled Noise: Identifiability and Robust Estimation
leading the Causality group at the Research Center for Trustworthy Data Science and Security and the Department of Statistics, and a member of the ELLIS society. His research is at the intersection of causality [...] causality and machine learning, focusing on causal discovery, causal representation learning, information theory, and Bayesian deep learning. He was a postdoctoral researcher in the Computational Biology Group [...] used benchmarks for bi-variate causal discovery. Beyond that, in the second part of the talk, we focus on the estimation of Gaussian LSNMs (heteroscedastic regression) on moderately high dimensional data …