# Talks

### Sensitivity Analysis with the $R^2$-Calculus

To estimate causal effects from observational data, assumptions that cannot be verified with the given data are an unavoidable …

### Sensitivity Analysis with the $R^2$-Calculus

To estimate causal effects from observational data, assumptions that cannot be verified with the given data are an unavoidable …

### Post-selection inference with HSIC-Lasso

Detecting influential features in non-linear and/or high-dimensional data is an increasingly important task in machine learning. …