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stat.ME2026
Stabilizing Variable Selection and Regression
Niklas Pfister, Evan G. Williams, Jonas Peters +2
We consider regression in which one predicts a response with a set of predictors across different experiments or environments. This is a common setup in many data-driven sc…
stat.ME2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella, Armeen Taeb, Christina Heinze-Deml +1
We consider the problem of recovering the causal structure underlying observations from different experimental conditions when the targets of the interventions in each experiment a…