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# Removing systematic errors for exoplanet search via latent causes

*Proceedings of the 32nd International Conference on Machine Learning*, PMLR 37:2218-2226, 2015.

#### Abstract

We describe a method for removing the effect of confounders in order to reconstruct a latent quantity of interest. The method, referred to as

*half-sibling regression*, is inspired by recent work in causal inference using additive noise models. We provide a theoretical justification and illustrate the potential of the method in a challenging astronomy application.