@article{Bongers++_AOS_21, author = {Stephan Bongers and Patrick Forr{\'e} and Jonas Peters and Joris M. Mooij}, title = {Foundations of Structural Causal Models with Cycles and Latent Variables}, journal = {Annals of Statistics}, year = {2021}, volume = {49}, number = {5}, pages = {2885-2915}, doi = {10.1214/21-AOS2064}, }

@article{BlomVanDiepenMooij_JMLR_21, author = {Tineke Blom and Mirthe M. van Diepen and Joris M. Mooij}, title = {Conditional Independences and Causal Relations implied by Sets of Equations}, journal = {Journal of Machine Learning Research}, year = {2021}, volume = {22}, number = {178}, pages = {1-62}, url = {http://jmlr.org/papers/v22/20-863.html} }

@inproceedings{BoekenMooij_UAI_21, title = {A {B}ayesian Nonparametric Conditional Two-sample Test with an Application to Local Causal Discovery}, author = {Boeken, Philip A. and Mooij, Joris M.}, booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence ({UAI}-21)}, pages = {1565--1575}, year = 2021, editor = {de Campos, Cassio and Maathuis, Marloes H.}, volume = 161, series = {Proceedings of Machine Learning Research}, month = 7, publisher = {PMLR}, url = {https://proceedings.mlr.press/v161/boeken21a.html}, }

@inproceedings{MarxGrettonMooij_UAI_21, title = {A Weaker Faithfulness Assumption based on Triple Interactions}, author = {Alexander Marx and Arthur Gretton and Joris M. Mooij}, booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence ({UAI}-21)}, pages = {451--460}, year = 2021, editor = {de Campos, Cassio and Maathuis, Marloes H.}, volume = 161, series = {Proceedings of Machine Learning Research}, month = 7, publisher = {PMLR}, url = {https://proceedings.mlr.press/v161/marx21a.html}, }

@inproceedings{MooijClaassen_UAI_20, title = {Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles}, author = {Joris M. Mooij and Tom Claassen}, booktitle = {Proceedings of the 36th Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-20)}, editor = {Jonas Peters and David Sontag}, publisher = {PMLR}, volume = 124, pages = {1159--1168}, year = 2020, month = 8, url = {http://proceedings.mlr.press/v124/m-mooij20a/m-mooij20a-supp.pdf} }

@article{Mooij++_JMLR_20, author = {Joris M. Mooij and Sara Magliacane and Tom Claassen}, title = {Joint Causal Inference from Multiple Contexts}, journal = {Journal of Machine Learning Research}, year = {2020}, volume = {21}, number = {99}, pages = {1-108}, url = {http://jmlr.org/papers/v21/17-123.html} }

@inproceedings{VersteegMooij_BIBM_19, author = {Philip Versteeg and Joris M. Mooij}, booktitle = {2019 IEEE International Conference on Bioinformatics and Biomedicine ({BIBM})}, title = {Boosting Local Causal Discovery in High-Dimensional Expression Data}, year = {2019}, pages = {2599-2604}, doi = {10.1109/BIBM47256.2019.8983232}, url = {https://doi.ieeecomputersociety.org/10.1109/BIBM47256.2019.8983232}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, month = 11 }

@inproceedings{BlomBongersMooij_UAI_19, title = {Beyond Structural Causal Models: Causal Constraints Models}, author = {Tineke Blom and Stephan Bongers and Joris M. Mooij}, booktitle = {Proceedings of the 35th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-19)}, year = 2019, }

@inproceedings{ForreMooij_UAI_19, title = {Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias}, author = {Patrick Forr{\'e} and Joris M. Mooij}, booktitle = {Proceedings of the 35th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-19)}, year = 2019, }

@incollection{Magliacane++_NeurIPS_18, title = {Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions}, author = {Magliacane, Sara and van Ommen, Thijs and Claassen, Tom and Bongers, Stephan and Versteeg, Philip and Mooij, Joris M}, booktitle = {Advances in Neural Information Processing Systems 31 ({N}eur{IPS}2018)}, editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett}, pages = {10869--10879}, year = {2018}, publisher = {Curran Associates, Inc.}, url = {http://papers.nips.cc/paper/8282-domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions.pdf} }

@inproceedings{Blom++_UAI_18, title = {An Upper Bound for Random Measurement Error in Causal Discovery}, author = {Tineke Blom and Anna Klimovskaia and Sara Magliacane and Joris M. Mooij}, booktitle = {Proceedings of the 34th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-18)}, year = 2018, }

@inproceedings{ForreMooij_UAI_18, title = {Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders}, author = {Patrick Forr{\'e} and Joris M. Mooij}, booktitle = {Proceedings of the 34th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-18)}, year = 2018, }

@inproceedings{Rubenstein++_UAI_18, title = {From Deterministic {ODE}s to Dynamic Structural Causal Models}, author = {Paul K. Rubenstein and Stephan Bongers and Bernhard Sch{\"o}lkopf and Joris M. Mooij}, booktitle = {Proceedings of the 34th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-18)}, year = 2018, }

@inproceedings{VanOmmenMooij_UAI_17, title = {Algebraic Equivalence of Linear Structural Equation Models}, author = {Thijs van Ommen and Joris M. Mooij}, booktitle = {Proceedings of the 33rd Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-17)}, year = 2017, }

@incollection{Louizos++_NIPS_17, author = {Christos Louizos and Uri Shalit and Joris M. Mooij and David Sontag and Richard Zemel and Max Welling}, title = {Causal Effect Inference with Deep Latent-Variable Models}, booktitle = {Advances in Neural Information Processing Systems 30}, editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett}, pages = {6449--6459}, year = 2017, publisher = {Curran Associates, Inc.}, url = {http://papers.nips.cc/paper/7223-causal-effect-inference-with-deep-latent-variable-models.pdf} }

@inproceedings{Rubenstein++_UAI_17, title = {Causal Consistency of Structural Equation Models}, author = {Paul K. Rubenstein and Sebastian Weichwald and Stephan Bongers and Joris M. Mooij and Dominik Janzing and Moritz Grosse-Wentrup and Bernhard Sch{\"o}lkopf}, booktitle = {Proceedings of the 33rd Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-17)}, year = 2017, }

@incollection{MagliacaneClaassenMooij_NIPS_16, title = {Ancestral Causal Inference}, author = {Magliacane, Sara and Claassen, Tom and Mooij, Joris M}, booktitle = {Advances in Neural Information Processing Systems 29}, editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett}, pages = {4466--4474}, year = {2016}, publisher = {Curran Associates, Inc.}, url = {http://papers.nips.cc/paper/6266-ancestral-causal-inference.pdf} }

@article{Meinshausen++_PNAS_16, author = {Nicolai Meinshausen and Alain Hauser and Joris M. Mooij and Jonas Peters and Philip Versteeg and Peter B{\"u}hlmann}, title = {Methods for causal inference from gene perturbation experiments and validation}, journal = {Proceedings of the National Academy of Sciences of the {U}nited {S}tates of {A}merica}, year = {2016}, volume = {113}, number = {27}, pages = {7361-7368}, url = {http://www.pnas.org/content/113/27/7361.abstract?sid=0ce8e45d-586d-4272-b50e-5a326f9495ef} }

@article{Mooij++_JMLR_16, author = {Joris M. Mooij and Jonas Peters and Dominik Janzing and Jakob Zscheischler and Bernhard Sch{\"o}lkopf}, title = {Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks}, journal = {Journal of Machine Learning Research}, year = {2016}, volume = {17}, number = {32}, pages = {1-102}, url = {http://jmlr.org/papers/v17/14-518.html} }

@inproceedings{MooijCremers_UAI2015CI, title = {An Empirical Study of one of the Simplest Causal Prediction Algorithms}, author = {Joris M. Mooij and Jerome Cremers}, pages = {30--39}, url = {http://ceur-ws.org/Vol-1504/uai2015aci_paper2.pdf}, crossref = {UAI2015CI}, } @proceedings{UAI2015CI, booktitle = {{UAI} 2015 Workshop on Advances in Causal Inference}, year = 2015, editor = {Ricardo Silva and Ilya Shpitser and Robin J. Evans and Jonas Peters and Tom Claassen}, number = 1504, series = {{CEUR} Workshop Proceedings}, address = {Aachen}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-1504}, venue = {Amsterdam, The Netherlands}, eventdate = {2016-07-16}, title = {Proceedings of the {UAI} 2015 Workshop on Advances in Causal Inference}, }

@article{DeLeeuwMooijHeskesPosthuma_15, author = {de Leeuw, Christiaan A. AND Mooij, Joris M. AND Heskes, Tom AND Posthuma, Danielle}, journal = {PLoS Computational Biology}, publisher = {Public Library of Science}, title = {{MAGMA}: Generalized Gene-Set Analysis of {GWAS} Data}, year = {2015}, month = {04}, volume = {11}, url = {http://dx.doi.org/10.1371%2Fjournal.pcbi.1004219}, pages = {e1004219}, number = {4}, doi = {10.1371/journal.pcbi.1004219} }

@inproceedings{CorniaMooij_UAI2014CI, title = {Type-{II} Errors of Independence Tests Can Lead to Arbitrarily Large Errors in Estimated Causal Effects: An Illustrative Example}, author = {Nicholas Cornia and Joris M. Mooij}, pages = {35--42}, url = {http://ceur-ws.org/Vol-1274/uai2014ci_paper7.pdf}, crossref = {UAI2014CI}, }

@proceedings{UAI2014CI, booktitle = {{UAI} 2014 Workshop Causal Inference: Learning and Prediction}, year = 2014, editor = {Joris M. Mooij and Dominik Janzing and Jonas Peters and Tom Claassen and Antti Hyttinen}, number = 1274, series = {{CEUR} Workshop Proceedings}, address = {Aachen}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-1274}, venue = {Quebec City, Quebec, Canada}, eventdate = {2014-07-27}, title = {Proceedings of the {UAI} 2014 Workshop Causal Inference: Learning and Prediction}, }

@article{PetersMooijJanzingSchoelkopf_JMLR_14, author = {Jonas Peters and Joris M. Mooij and Dominik Janzing and Bernhard Sch{\"o}lkopf}, title = {Causal Discovery with Continuous Additive Noise Models}, journal = {Journal of Machine Learning Research}, year = {2014}, volume = {15}, pages = {2009-2053}, url = {http://jmlr.org/papers/v15/peters14a.html} }

@inproceedings{MooijHeskes_UAI_13, title = {Cyclic Causal Discovery from Continuous Equilibrium Data}, author = {Joris M. Mooij and Tom Heskes}, booktitle = {Proceedings of the 29th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-13)}, year = 2013, location = {Corvallis, Oregon}, publisher = {AUAI Press}, editor = {Ann Nicholson and Padhraic Smyth}, pages = {431--439}, url = {http://auai.org/uai2013/prints/papers/23.pdf} }

@inproceedings{MooijJanzingSchoelkopf_UAI_13, title = {From Ordinary Differential Equations to Structural Causal Models: the deterministic case}, author = {Joris M. Mooij and Dominik Janzing and Bernhard Sch{\"o}lkopf}, booktitle = {Proceedings of the 29th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-13)}, year = 2013, location = {Corvallis, Oregon}, publisher = {AUAI Press}, editor = {Ann Nicholson and Padhraic Smyth}, pages = {440--448}, url = {http://auai.org/uai2013/prints/papers/24.pdf} }

@inproceedings{ClaassenMooijHeskes_UAI_13, title = {Learning Sparse Causal Models is not {NP}-hard}, author = {Tom Claassen and Joris M. Mooij and Tom Heskes}, booktitle = {Proceedings of the 29th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-13)}, year = 2013, location = {Corvallis, Oregon}, publisher = {AUAI Press}, editor = {Ann Nicholson and Padhraic Smyth}, pages = {172--181}, url = {http://auai.org/uai2013/prints/papers/121.pdf} }

@inproceedings{Schoelkopf_et_al_ICML_12, title = {On causal and anticausal learning}, author = {Bernhard Sch{\"o}lkopf and Dominik Janzing and Jonas Peters and Eleni Sgouritsa and Kun Zhang and Joris M. Mooij}, url = {http://icml.cc/2012/papers/625.pdf}, booktitle = {Proceedings of the 29th {I}nternational {C}onference on {M}achine {L}earning ({ICML} 2012)}, year = 2012, series = {ICML '12}, editor = {John Langford and Joelle Pineau}, location = {Edinburgh, Scotland, GB}, isbn = {978-1-4503-1285-1}, month = {July}, publisher = {Omnipress}, address = {New York, NY, USA}, pages= {1255--1262} }

@article{Janzing_et_al_AI_12, title = {Information-geometric approach to inferring causal directions}, author = {Dominik Janzing and Joris M. Mooij and Kun Zhang and Jan Lemeire and Jacob Zscheischler and Povilas Daniu{\v s}is and Bastian Steudel and Bernhard Sch{\"o}lkopf}, journal = {Artificial Intelligence}, volume = {182-183}, pages = {1-31}, year = 2012, issn = {0004-3702}, doi = {10.1016/j.artint.2012.01.002}, url = {http://www.sciencedirect.com/science/article/pii/S0004370212000045} }

@inproceedings{Mooij_et_al_NIPS_11, author = {Joris M. Mooij and Dominik Janzing and Tom Heskes and Bernhard Sch{\"o}lkopf}, title = {On Causal Discovery with Cyclic Additive Noise Models}, booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 24 ({NIPS}*2011)}, editor = {J. Shawe-Taylor and R.S. Zemel and P. Bartlett and F.C.N. Pereira and K.Q. Weinberger}, pages = {639--647}, year = {2011}, url = {http://books.nips.cc/papers/files/nips24/NIPS2011_0449.pdf} }

@inproceedings{Stegle_et_al_NIPS_11, author = {Oliver Stegle and Christoph Lippert and Joris M. Mooij and Neil D. Lawrence and Karsten Borgwardt}, title = {Efficient inference in matrix-variate Gaussian models with iid observation noise}, booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 24 ({NIPS}*2011)}, editor = {J. Shawe-Taylor and R.S. Zemel and P. Bartlett and F.C.N. Pereira and K.Q. Weinberger}, pages = {630--638}, year = {2011}, url = {http://books.nips.cc/papers/files/nips24/NIPS2011_0443.pdf} }

@inproceedings{Quinn_et_al_ESANN_11, title = {Learning of causal relations}, author = {John Quinn and Joris M. Mooij and Tom Heskes and Michael Biehl}, booktitle = {Proceedings of the 19th European Symposium on Artificial Neural Networks (ESANN 2011)}, year = 2011, url = {http://www.dice.ucl.ac.be/esann/proceedings/papers.php?ann=2011#9} }

@inproceedings{Peters_et_al_UAI_11, title = {Identifiability of Causal Graphs using Functional Models}, author = {Jonas Peters and Joris M. Mooij and Dominik Janzing and Bernhard Sch{\"o}lkopf}, booktitle = {Proceedings of the 27th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-11)}, year = 2011, location = {Corvallis, Oregon}, publisher = {AUAI Press}, editor = {Fabio G. Cozman and Avi Pfeffer}, pages = {589--598}, url = {http://uai.sis.pitt.edu/papers/11/p589-peters.pdf} }

@article{Martens_et_al_NeurComp_11, author = {Suzanne M. M. Martens and Joris M. Mooij and N. J. Hill and Jason Farquhar and Bernhard Sch{\"o}lkopf}, title = {A Graphical Model Framework for Decoding in the Visual {ERP}-Based {BCI} Speller}, journal = {Neural Computation}, year = 2011, month = Jan, volume = 23, number = 1, pages = {160-182}, url = {http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00066} }

@inproceedings{Mooij_et_al_NIPS_10, author = {Joris M. Mooij and Oliver Stegle and Dominik Janzing and Kun Zhang and Bernhard Sch{\"o}lkopf}, title = {Probabilistic latent variable models for distinguishing between cause and effect}, booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 23 ({NIPS}*2010)}, editor = {J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta}, pages = {1687--1695}, year = {2010}, url = {http://books.nips.cc/papers/files/nips23/NIPS2010_1270.pdf} }

@article{Mooij_JMLR_MLOSS_10, author = {Joris M. Mooij}, title = {lib{DAI}: A Free and Open Source {C++} Library for Discrete Approximate Inference in Graphical Models}, journal = {Journal of Machine Learning Research}, year = 2010, month = Aug, volume = 11, pages = {2169-2173}, url = {http://www.jmlr.org/papers/volume11/mooij10a/mooij10a.pdf} }

@inproceedings{Daniusis_et_al_UAI_10, title = {Inferring deterministic causal relations}, author = {Povilas Daniu{\v s}is and Dominik Janzing and Joris M. Mooij and Jakob Zscheischler and Bastian Steudel and Kun Zhang and Bernhard Sch{\"o}lkopf}, booktitle = {Proceedings of the 26th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-10)}, year = 2010, location = {}, publisher = {}, editor = {}, pages = {}, url = {http://event.cwi.nl/uai2010/papers/UAI2010_0121.pdf} }

@article{CampsVallsMooijSchoelkopf_10, title = {Remote Sensing Feature Selection by Kernel Dependence Measures}, author = {Gustavo Camps-Valls and Joris M. Mooij and Bernhard Sch\"{o}lkopf}, journal = {{IEEE} Geoscience and Remote Sensing Letters}, volume = 7, number = 3, month = Jul, year = 2010, pages = {587-591} }

@inproceedings{MooijJanzing_JMLR_10, title = {Distinguishing between cause and effect}, author = {Joris M. Mooij and Dominik Janzing}, booktitle = {Journal of Machine Learning Research Workshop and Conference Proceedings}, volume = {6}, year = 2010, pages = {147-156} }

@inproceedings{JanzingPetersMooijSchoelkopf_UAI_09, title = {Identifying confounders using additive noise models}, author = {Dominik Janzing and Jonas Peters and Joris M. Mooij and Bernhard Sch\"{o}lkopf}, booktitle = {Proceedings of the 25th Annual Conference on {U}ncertainty in {A}rtificial {I}ntelligence ({UAI}-09)}, year = 2009, location = {}, publisher = {}, editor = {}, pages = {}, url = {http://www.cs.mcgill.ca/~uai2009/papers/UAI2009_0118_d5787036a879b5fb06ab513f53eb06a7.pdf} }

@inproceedings{MooijJanzingPetersSchoelkopf_ICML_09, title = {Regression by Dependence Minimization and its Application to Causal Inference}, author = {Joris M. Mooij and Dominik Janzing and Jonas Peters and Bernhard Sch\"{o}lkopf}, booktitle = {Proceedings of the 26th {I}nternational {C}onference on {M}achine {L}earning ({ICML} 2009)}, pages = {745--752}, year = 2009, editor = {L\'{e}on Bottou and Michael Littman}, address = {Montreal}, month = {June}, publisher = {Omnipress} }

@inproceedings{HoyerJanzingMooijPetersSchoelkopf_NIPS_08, title = {Nonlinear causal discovery with additive noise models}, author = {Patrik O. Hoyer and Dominik Janzing and Joris M. Mooij and Jonas Peters and Bernhard Sch\"{o}lkopf}, booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 21 ({NIPS}*2008)}, editor = {D. Koller and D. Schuurmans and Y. Bengio and L. Bottou}, pages = {689--696}, year = {2009} }

@incollection{MooijKappen_NIPS_08, title = {Bounds on marginal probability distributions}, author = {Joris M. Mooij and Hilbert J. Kappen}, booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 21 ({NIPS}*2008)}, editor = {D. Koller and D. Schuurmans and Y. Bengio and L. Bottou}, pages = {1105--1112}, year = {2009} }

@article{MooijKappen_IEEETIT_07, author = "Joris M. Mooij and Hilbert J. Kappen", journal = "IEEE Transactions on Information Theory", title = "Sufficient Conditions for Convergence of the Sum-Product Algorithm", volume = 53, number = 12, month = Dec, year = 2007, pages = "4422-4437", doi = "10.1109/TIT.2007.909166" }

@article{GomezMooijKappen_JMLR_07, author = "Vicen\c{c} G{\'o}mez and Joris M. Mooij and Hilbert J. Kappen", title = "Truncating the Loop Series Expansion for Belief Propagation", journal = "Journal of Machine Learning Research", year = 2007, volume = 8, month = Sep, pages = "1987-2016", url = "http://www.jmlr.org/papers/volume8/gomez07a/gomez07a.pdf", }

@article{MooijKappen_JMLR_07, author = "Joris M. Mooij and Hilbert J. Kappen", title = "Loop Corrections for Approximate Inference on Factor Graphs", journal = "Journal of Machine Learning Research", year = 2007, month = May, volume = 8, pages = "1113-1143", url = "http://www.jmlr.org/papers/volume8/mooij07a/mooij07a.pdf" }

@inproceedings{WemmenhoveMooijWiegerinckLeisinkKappenNeijt_AIME_07, author = "Bastian Wemmenhove and Joris M. Mooij and Wim Wiegerinck and Martijn Leisink and Hilbert J. Kappen and Jan P. Neijt", title = "Inference in the {P}romedas medical expert system", booktitle = "Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME 2007)", year = 2007, editors = "R. Bellazzi and A. Abu-Hanna and J. Hunter", series = "Lecture Notes in Computer Science", volume = 4594, isbn = "978-3-540-73598-4", publisher = "Springer", pages = {456--460}, doi = {10.1007/978-3-540-73599-1_61} }

@inproceedings{MooijWemmenhoveKappenRizzo_AISTATS_07, author = "Joris M. Mooij and Bastian Wemmenhove and Hilbert J. Kappen and Tommaso Rizzo", title = "Loop Corrected Belief Propagation", booktitle = "Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07)", editors = "Marina Meila and Xiaotong Shen", url = "http://www.stat.umn.edu/~aistat/proceedings/start.htm", year = 2007, volume = 11 }

@inproceedings{MooijKappen_UAI_05, author = "Joris M. Mooij and Hilbert J. Kappen", title = "Sufficient conditions for convergence of Loopy Belief Propagation", booktitle = "Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence (UAI-05)", year = 2005, pages = {396-403}, publisher = "AUAI Press", address = "Corvallis, Oregon", editor = "F. Bacchus and T. Jaakkola" }

@article{MooijKappen_JSTAT_05, author = "Joris M. Mooij and Hilbert J. Kappen", title = "On the properties of the {B}ethe approximation and Loopy Belief Propagation on binary networks", journal = "Journal of Statistical Mechanics: Theory and Experiment", volume = 2005, number = 11, pages = "P11012", year = 2005, url = "http://stacks.iop.org/1742-5468/2005/P11012" }

@inproceedings{MooijKappen_NIPS_04, author = "Joris M. Mooij and Hilbert J. Kappen", title = "Validity estimates for Loopy Belief Propagation on binary real-world networks", booktitle = "Advances in Neural Information Processing Systems 17 (NIPS*2004)", year = 2005, editor = "L. K. Saul and Y. Weiss and L. Bottou", publisher = "MIT Press", address = "Cambridge, MA", pages = "945--952" }

@article{TolboomDamTerMeulenMooijMaassen_ApplOpts_04, author = "Ren{\'e} Tolboom and Nico Dam and Hans ter Meulen and Joris M. Mooij and Hans Maassen", journal = "Applied Optics", title = "Quantitative Imaging through a Spectrograph. 1. {P}rinciples and Theory", volume = 43, year = 2004, pages = "5669-5681", url = "http://www.opticsinfobase.org/abstract.cfm?URI=ao-43-30-5669" }

@inproceedings{JanzingLauritzenSchoelkopf_Dagstuhl_09, author = {Dominik Janzing and Steffen Lauritzen and Bernhard Sch{\"o}lkopf}, title = {09401 Abstracts Collection -- Machine learning approaches to statistical dependences and causality}, booktitle = {Machine learning approaches to statistical dependences and causality}, year = {2010}, editor = {Dominik Janzing and Steffen Lauritzen and Bernhard Sch{\"o}lkopf}, number = {09401}, series = {Dagstuhl Seminar Proceedings}, ISSN = {1862-4405}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany}, address = {Dagstuhl, Germany}, URL = {http://drops.dagstuhl.de/opus/volltexte/2010/2363}, annote = {Keywords: Machine learning, statistical dependences, causality} }

@misc{MooijJanzingSchoelkopf_CWR_08, author = "Joris M. Mooij and Dominik Janzing and Bernhard Schoelkopf", title = "Distinguishing between cause and effect", year = "2008", month = "10", url = "http://www.kyb.tuebingen.mpg.de/bs/people/jorism/causality-data/", institution = "Causality workbench repository" }

@misc{Mooij_libDAI, author = "Joris M. Mooij", title = "{libDAI}: A free/open source {C}++ library for {D}iscrete {A}pproximate {I}nference", year = 2006, howpublished = "\url{http://www.libdai.org/}" }

@phdthesis{Mooij_PhD_08, author = "Joris M. Mooij", title = "Understanding and Improving Belief Propagation", school = "Radboud University Nijmegen", year = 2008, month = May, url = "http://webdoc.ubn.ru.nl/mono/m/mooij_j/undeanimb.pdf" }

@article{Versteeg++_2203.01848, title = {Local Constraint-Based Causal Discovery under Selection Bias}, author = {Philip Versteeg and Cheng Zhang and Joris M. Mooij}, journal = {arXiv.org preprint}, volume = {arXiv:2203.01848 [cs.LG]}, url = {https://arxiv.org/abs/2203.01848}, month = 3, year = 2022, }

@article{Ilse++_2103.04786v2, title = {Combining Interventional and Observational Data using Causal Reductions}, author = {Maximilian Ilse and Patrick Forr{\'e} and Max Welling and Joris M. Mooij}, journal = {arXiv.org preprint}, volume = {arXiv:2103.04786v2 [stat.ML]}, url = {https://arxiv.org/abs/2103.04786v2}, month = 1, year = 2022, }

@article{Ilse++_2103.04786, title = {Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions}, author = {Maximilian Ilse and Patrick Forr{\'e} and Max Welling and Joris M. Mooij}, journal = {arXiv.org preprint}, volume = {arXiv:2103.04786 [stat.ML]}, url = {https://arxiv.org/abs/2103.04786}, month = 3, year = 2021, }

@article{BlomMooij_2101.11885, author = {Tineke Blom and Joris M. Mooij}, journal = {arXiv.org preprint}, title = {Causality and Independence in Perfectly Adapted Dynamical Systems}, volume = {arXiv:2101.11885 [stat.ML]}, month = 1, year = 2021, url = {https://arxiv.org/abs/2101.11885} }

@article{BlomMooij_2012.04723, author = {Tineke Blom and Joris M. Mooij}, journal = {arXiv.org preprint}, title = {Robustness of Model Predictions under Extension}, volume = {arXiv:2012.04723 [stat.ME]}, month = 12, year = 2020, url = {https://arxiv.org/abs/2012.04723} }

@article{DeKroonBelgraveMooij_2009.07916, author = {Arnoud A.W.M. de Kroon and Danielle Belgrave and Joris M. Mooij}, journal = {arXiv.org preprint}, title = {Causal Discovery for Causal Bandits utilizing Separating Sets}, volume = {arXiv:2009.07916 [cs.AI]}, month = 9, year = 2020, url = {https://arxiv.org/abs/2009.07916} }

@article{BongersBlomMooij_1803.08784v3, author = "Stephan Bongers and Tineke Blom and Joris M. Mooij", journal = "arXiv.org preprint", title = "Causal Modeling of Dynamical Systems", volume = "arXiv:1803.08784v3 [cs.AI]", year = 2021, month = Dec, url = "https://arxiv.org/abs/1803.08784v3", }

@article{BongersMooij_1803.08784, author = "Stephan Bongers and Joris M. Mooij", journal = "arXiv.org preprint", title = "From Random Differential Equations to Structural Causal Models: the stochastic case", volume = "arXiv:1803.08784 [cs.AI]", year = 2018, month = Mar, url = "https://arxiv.org/abs/1803.08784", }

@article{ForreMooij_1710.08775, author = "Patrick Forr{\'e} and Joris M. Mooij", journal = "arXiv.org preprint", title = "Markov Properties for Graphical Models with Cycles and Latent Variables", volume = "arXiv:1710.08775 [math.ST]", year = 2017, month = Oct, url = "https://arxiv.org/abs/1710.08775", }

@article{ClaassenMooijHeskes_1411.1557, author = "Tom Claassen and Joris M. Mooij and Tom Heskes", journal = "ar{X}iv.org preprint", title = "Proof Supplement - Learning Sparse Causal Models is not {NP}-hard ({UAI2013})", volume = "ar{X}iv:1411.1577 [stat.{ML}]", year = 2014, month = Nov, url = "http://arxiv.org/abs/1411.1557", note = "Supplement to ``{L}earning Sparse Causal Models is not {NP}-hard'' ({UAI2013})" }

@article{MooijKappen_0801.3797, author = "Joris M. Mooij and Hilbert J. Kappen", journal = "arXiv.org preprint", title = "Novel Bounds on Marginal Probabilities", volume = "arXiv:0801.3797 [math.PR]", year = 2008, month = Jan, url = "http://arxiv.org/abs/0801.3797", note = "Submitted to Journal of Machine Learning Research" }

@article{MooijKappen_cs_0612030, author = "Joris M. Mooij and Hilbert J. Kappen", journal = "arXiv.org preprint", title = "Loop corrections for approximate inference", volume = "arXiv:cs/0612030v1 [cs.AI]", year = 2006, month = Dec, url = "http://arxiv.org/abs/cs/0612030v1" }

@article{GomezMooijKappen_cs_0612109v2, author = "Vicen\c{c} G{\'o}mez and Joris M. Mooij and Hilbert J. Kappen", journal = "arXiv.org preprint", title = "Truncating the Loop Series Expansion for Belief Propagation", volume = "arXiv:cs/0612109v2 [cs.AI]", year = 2006, month = Dec, url = "http://arxiv.org/abs/cs/0612109v2", note = "To appear in Journal of Machine Learning Research" }

@article{MooijKappen_cs_0504030v2, author = "Joris M. Mooij and Hilbert J. Kappen", journal = "arXiv.org preprint", title = "Sufficient conditions for convergence of the Sum-Product Algorithm", volume = "arXiv:cs/0504030v2 [cs.IT]", year = 2007, month = May, url = "http://arxiv.org/abs/cs/0504030v2", note = "To appear in IEEE Transactions on Information Theory" }

@article{MooijKappen_cond-mat_0408378v2, author = "Joris M. Mooij and Hilbert J. Kappen", journal = "arXiv.org preprint", title = "Spin-glass phase transitions on real-world graphs", volume = "arXiv:cond-mat/0408378v2 [cond-mat.stat-mech]", year = 2004, month = Sep, url = "http://arxiv.org/abs/cond-mat/0408378v2" }

@misc{BoutenMooij_04, author = "Luc Bouten and Joris M. Mooij", title = "Toepassingen Groepentheorie", year = 2004, note = "Lecture notes", howpublished = "Radboud University Nijmegen" }