Constraint-based Causal Discovery for Non-Linear Structural Causal
Models with Cycles and Latent Confounders

Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders

9 July 2018

Joris M. Mooij

Papers citing "Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders"

13 / 13 papers shown

Title
Markov Properties for Graphical Models with Cycles and Latent Variables Patrick Forré Joris M. Mooij 36 71 0 24 Oct 2017
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 37 62 0 22 Jun 2016
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 55 72 0 08 Jun 2015
Margins of discrete Bayesian networks R. Evans 47 68 0 09 Jan 2015
Graphs for margins of Bayesian networks R. Evans CML UQCV 55 90 0 08 Aug 2014
Learning Sparse Causal Models is not NP-hard Tom Claassen Joris Mooij Tom Heskes CML 70 119 0 26 Sep 2013
Causal Networks: Semantics and Expressiveness Thomas Verma Judea Pearl GNN 69 550 0 27 Mar 2013
Learning Gaussian Networks D. Geiger David Heckerman TPM 50 499 0 27 Feb 2013
Directed Cyclic Graphical Representations of Feedback Models Peter Spirtes CML 89 238 0 20 Feb 2013
Strong Completeness and Faithfulness in Bayesian Networks Christopher Meek 88 309 0 20 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 110 192 0 13 Feb 2013
Markovian acyclic directed mixed graphs for discrete data R. Evans Thomas S. Richardson 64 55 0 28 Jan 2013
Maximum likelihood fitting of acyclic directed mixed graphs to binary data R. Evans Thomas S. Richardson 59 25 0 15 Mar 2012