TY - GEN
T1 - Removing systematic errors for exoplanet search via Latent causes
AU - Schölkopf, Bernhard
AU - Hogg, David W.
AU - Wang, Dun
AU - Foreman-Mackey, Daniel
AU - Janzing, Dominik
AU - Simon-Gabriel, Carl Johann
AU - Peters, Jonas
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84969916007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969916007&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84969916007
T3 - 32nd International Conference on Machine Learning, ICML 2015
SP - 2208
EP - 2216
BT - 32nd International Conference on Machine Learning, ICML 2015
A2 - Bach, Francis
A2 - Blei, David
PB - International Machine Learning Society (IMLS)
T2 - 32nd International Conference on Machine Learning, ICML 2015
Y2 - 6 July 2015 through 11 July 2015
ER -