Joris M. Mooij - BibTeX entries
Joris M. Mooij
Published journal articles and conference proceedings
@article{Janzing_et_al_AI_12,
title = {Information-geometric approach to inferring causal directions},
author = {D. Janzing and J. M. Mooij and K. Zhang and J. Lemeire and J. Zscheischler and P. Daniu{\v s}is and B. Steudel and B. Sch{\"o}lkopf},
journal = {Artificial Intelligence},
volume = {182-183},
number = 0,
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}
}
@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 = "J. M. Mooij and H. 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 = "V. G{\'o}mez and J. M. Mooij and H. 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 = "J. M. Mooij and H. 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 = "B. Wemmenhove and J. M. Mooij and W. Wiegerinck and M. Leisink and H. J. Kappen and J. 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 = "J. M. Mooij and B. Wemmenhove and H. J. Kappen and T. 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 = "J. M. Mooij and H. 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 = "J. M. Mooij and H. 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 = "J. M. Mooij and H. 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 = "R. Tolboom and N. Dam and H. ter Meulen and J. M. Mooij and H. 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"
}
Miscellaneous
@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 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 = 2010,
howpublished = "\url{http://www.libdai.org/}"
}
@phdthesis{Mooij_PhD_08,
author = "J. 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"
}
@misc{BoutenMooij_04,
author = "Luc Bouten and Joris M. Mooij",
title = "Toepassingen Groepentheorie",
year = 2004,
note = "Lecture notes",
howpublished = "Radboud University Nijmegen"
}
Preprints and technical reports
@article{MooijKappen_0801.3797,
author = "J. M. Mooij and H. 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 = "J. M. Mooij and H. 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 = "V. G{\'o}mez and J. M. Mooij and H. 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 = "J. M. Mooij and H. 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 = "J. M. Mooij and H. 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"
}
