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Tobias Freidling

2 accepted papers

2021

Confidence in causal discovery with linear causal models

UAI 2021poster

Structural causal models postulate noisy functional relations among a set of interacting variables. The causal structure underlying each such model is naturally represented by a directed graph whose edges indicate for each variable which other variables it causally depends upon. Under a number of di…

Cited by 12SourcePDFScholar
2021

Post-selection inference with HSIC-Lasso

ICML 2021spotlight

Detecting influential features in non-linear and/or high-dimensional data is a challenging and increasingly important task in machine learning. Variable selection methods have thus been gaining much attention as well as post-selection inference. Indeed, the selected features can be significantly fla…