Talks

2021

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. …

2020

Maximum of the two-dimensional Gaussian free field

Predictive Rates of Neural Networks