Removing systematic errors for exoplanet search via Latent causes

Bernhard Schölkopf; David W. Hogg; Dun Wang; Daniel Foreman-Mackey; Dominik Janzing; Carl Johann Simon-Gabriel; Jonas Peters

Removing systematic errors for exoplanet search via Latent causes

Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl Johann Simon-Gabriel, Jonas Peters

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	32nd International Conference on Machine Learning, ICML 2015
Editors	Francis Bach, David Blei
Publisher	International Machine Learning Society (IMLS)
Pages	2208-2216
Number of pages	9
ISBN (Electronic)	9781510810587
State	Published - 2015
Event	32nd International Conference on Machine Learning, ICML 2015 - Lile, France Duration: Jul 6 2015 → Jul 11 2015

Publication series

Name	32nd International Conference on Machine Learning, ICML 2015
Volume	3

Other

Other	32nd International Conference on Machine Learning, ICML 2015
Country/Territory	France
City	Lile
Period	7/6/15 → 7/11/15

ASJC Scopus subject areas

Human-Computer Interaction
Computer Science Applications

Cite this

Schölkopf, B., Hogg, D. W., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., & Peters, J. (2015). Removing systematic errors for exoplanet search via Latent causes. In F. Bach, & D. Blei (Eds.), 32nd International Conference on Machine Learning, ICML 2015 (pp. 2208-2216). (32nd International Conference on Machine Learning, ICML 2015; Vol. 3). International Machine Learning Society (IMLS).

Removing systematic errors for exoplanet search via Latent causes. / Schölkopf, Bernhard; Hogg, David W.; Wang, Dun et al.
32nd International Conference on Machine Learning, ICML 2015. ed. / Francis Bach; David Blei. International Machine Learning Society (IMLS), 2015. p. 2208-2216 (32nd International Conference on Machine Learning, ICML 2015; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Schölkopf, B, Hogg, DW, Wang, D, Foreman-Mackey, D, Janzing, D, Simon-Gabriel, CJ & Peters, J 2015, Removing systematic errors for exoplanet search via Latent causes. in F Bach & D Blei (eds), 32nd International Conference on Machine Learning, ICML 2015. 32nd International Conference on Machine Learning, ICML 2015, vol. 3, International Machine Learning Society (IMLS), pp. 2208-2216, 32nd International Conference on Machine Learning, ICML 2015, Lile, France, 7/6/15.

Schölkopf B, Hogg DW, Wang D, Foreman-Mackey D, Janzing D, Simon-Gabriel CJ et al. Removing systematic errors for exoplanet search via Latent causes. In Bach F, Blei D, editors, 32nd International Conference on Machine Learning, ICML 2015. International Machine Learning Society (IMLS). 2015. p. 2208-2216. (32nd International Conference on Machine Learning, ICML 2015).

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AU - Peters, Jonas

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Removing systematic errors for exoplanet search via Latent causes

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