Spectrally Deconfounded Gradient Boosting

Andrea Nava, Peter Bühlmann, Fabio Sigrist

Flexible machine-learning methods can be sensitive to hidden confounding: they may learn associations induced by unobserved confounders rather than stable signals. Spectral deconfo…