351 citations · 1.8k across the 37 of their papers we have counts for
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A causal framework for distribution generalization
Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen +2
We consider the problem of predicting a response from a set of covariates when test and training distributions differ. Since such differences may have causal explanations,…
Distributional robustness of K-class estimators and the PULSE
Martin Emil Jakobsen, Jonas Peters
While causal models are robust in that they are prediction optimal under arbitrarily strong interventions, they may not be optimal when the interventions are bounded. We prove that…
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness
Sebastian Weichwald, Jonas Peters
While probabilistic models describe the dependence structure between observed variables, causal models go one step further: they predict, for example, how cognitive functions are a…
Causal models for dynamical systems
Jonas Peters, Stefan Bauer, Niklas Pfister
A probabilistic model describes a system in its observational state. In many situations, however, we are interested in the system's response under interventions. The class of struc…