127 citations · 374 across the 6 of their papers we have counts for
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stat.ML2014
Proof Supplement - Learning Sparse Causal Models is not NP-hard (UAI2013)
Tom Claassen, Joris M. Mooij, Tom Heskes
This article contains detailed proofs and additional examples related to the UAI-2013 submission `Learning Sparse Causal Models is not NP-hard'. It describes the FCI+ algorithm: a…
stat.ML2012★ 41 cited
Identifying confounders using additive noise models
Dominik Janzing, Jonas Peters, Joris Mooij +1
We propose a method for inferring the existence of a latent common cause ('confounder') of two observed random variables. The method assumes that the two effects of the confounder…