Foundations and new horizons for causal inference
Nicolai Meinshausen
ETH Zürich, SwitzerlandJonas Peters
University of Copenhagen, DenmarkThomas S. Richardson
University of Washington, Seattle, USABernhard Schölkopf
Max Planck Institute for Intelligent Systems, Tübingen, Germany
Abstract
While causal inference is established in some disciplines such as econometrics and biostatistics, it is only starting to emerge as a valuable tool in areas such as machine learning and artificial intelligence. The mathematical foundations of causal inference are fragmented at present. The aim of the workshop "Foundations and new horizons for causal inference" was to unify existing approaches and mathematical foundations as well as exchange ideas between different fields. We regard this workshop as successful in that it brought together researchers from different disciplines who were able to learn from each other not only about different formulations of related problems, but also about solutions and methods that exist in the different fields.
Cite this article
Nicolai Meinshausen, Jonas Peters, Thomas S. Richardson, Bernhard Schölkopf, Foundations and new horizons for causal inference. Oberwolfach Rep. 16 (2019), no. 2, pp. 1499–1571
DOI 10.4171/OWR/2019/25