papers
Publications (11)
cs.LG2012
Inferring deterministic causal relations
Povilas Daniusis, Dominik Janzing, Joris Mooij +4
cs.AI2013
Learning Sparse Causal Models is not NP-hard
Tom Claassen, Joris Mooij, Tom Heskes
stat.ML2012
Identifying confounders using additive noise models
Dominik Janzing, Jonas Peters, Joris Mooij +1
stat.ML2017
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos, Uri Shalit, Joris Mooij +3
cs.AI2014
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij, Dominik Janzing, Bernhard Schoelkopf
cs.LG2012
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing, Jonas Peters +3
cs.LG2012
Identifiability of Causal Graphs using Functional Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
cs.AI2006
Loop corrections for approximate inference
Joris Mooij, Bert Kappen
cs.LG2013
Cyclic Causal Discovery from Continuous Equilibrium Data
Joris Mooij, Tom Heskes
cs.AI2012
Sufficient conditions for convergence of Loopy Belief Propagation
Joris Mooij, Hilbert Kappen
stat.ML2014
Causal Discovery with Continuous Additive Noise Models
Jonas Peters, Joris Mooij, Dominik Janzing +1