Contact

Dr. Joris Mooij

Address: Spemannstr. 38
72076 Tübingen
Room number: 226
Phone: +49 7071 601 542
Fax: +49 7071 601 552
E-Mail: joris.mooij
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Joris Mooij

Position: Research Scientist  Unit: Alumni Schölkopf

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Articles (5):

Peters J Person, Mooij JM Person, Janzing D Person and Schölkopf B Person (2014) Causal Discovery with Continuous Additive Noise Models Journal of Machine Learning Research 15 2009-2053.
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Janzing D Person, Mooij J Person, Zhang K Person, Lemeire J , Zscheischler J Person, Daniušis P Person, Steudel B Person and Schölkopf B Person (2012) Information-geometric approach to inferring causal directions Artificial Intelligence 182-183 1-31.
Martens SMM Person, Mooij JM Person, Hill NJ Person, Farquhar J Person and Schölkopf B Person (2011) A graphical model framework for decoding in the visual ERP-based BCI speller Neural Computation 23(1) 160-182.
Mooij JM Person (2010) libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Journal of Machine Learning Research 11 2169-2173.
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Camps-Valls G Person, Mooij JM Person and Schölkopf B Person (2010) Remote Sensing Feature Selection by Kernel Dependence Estimation IEEE Geoscience and Remote Sensing Letters 7(3) 587-591.
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Conference papers (12):

Mooij J Person, Janzing D Person and Schölkopf B Person (2013) From Ordinary Differential Equations to Structural Causal Models: the deterministic case In: Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence, (Ed) A Nicholson and P Smyth, UAI 2013, AUAI Press, Corvallis, Oregon, 440-448.
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Schölkopf B Person, Janzing D Person, Peters J Person, Sgouritsa E Person, Zhang K Person and Mooij J Person (2012) On Causal and Anticausal Learning In: Proceedings of the 29th International Conference on Machine Learning (ICML 2012), (Ed) J Langford and J Pineau, 29th International Conference on Machine Learning (ICML 2012), Omnipress, New York, NY, USA, 1255-1262.
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Peters J Person, Mooij J Person, Janzing D Person and Schölkopf B Person (2011) Identifiability of causal graphs using functional models (Ed) FG Cozman and A Pfeffer, 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 589-598.
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Stegle O Person, Lippert C Person, Mooij J Person, Lawrence N and Borgwardt K Person (2011) Efficient inference in matrix-variate Gaussian models with iid observation noise In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 630-638.
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Mooij J Person, Janzing D Person, Schölkopf B Person and Heskes T (2011) On Causal Discovery with Cyclic Additive Noise Models In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, PL Bartlett, FCN Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran Associates, Inc., Red Hook, NY, USA, 639-647.
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Daniusis P Person, Janzing D Person, Mooij J Person, Zscheischler J Person, Steudel B Person, Zhang K Person and Schölkopf B Person (2010) Inferring deterministic causal relations In: Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, (Ed) P Grünwald and P Spirtes, UAI 2010, AUAI Press, Corvallis, OR, USA, 143-150.
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Mooij J Person and Janzing D Person (2010) Distinguishing between cause and effect In: JMLR Workshop and Conference Proceedings: Volume 6, (Ed) Guyon, I. , D. Janzing, B. Schölkopf, Causality: Objectives and Assessment (NIPS 2008 Workshop), MIT Press, Cambridge, MA, USA, 147-156.
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Mooij JM Person, Stegle O Person, Janzing D Person, Zhang K Person and Schölkopf B Person (2010) Probabilistic latent variable models for distinguishing between cause and effect In: Advances in Neural Information Processing Systems 23, (Ed) J Lafferty, CKI Williams, J Shawe-Taylor, RS Zemel and A Culotta, 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 1687-1695.
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Mooij JM Person and Kappen B (2009) Bounds on marginal probability distributions In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1105-1112.
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Janzing D Person, Peters J Person, Mooij JM Person and Schölkopf B Person (2009) Identifying confounders using additive noise models In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, (Ed) J Bilmes and AY Ng, UAI 2009, AUAI Press, Corvallis, OR, USA, 249-257.
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Hoyer PO , Janzing D Person, Mooij JM Person, Peters J Person and Schölkopf B Person (2009) Nonlinear causal discovery with additive noise models In: Advances in neural information processing systems 21, (Ed) D Koller, D Schuurmans, Y Bengio and L Bottou, 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 689-696.
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Mooij JM Person, Janzing D Person, Peters J Person and Schölkopf B Person (2009) Regression by dependence minimization and its application to causal inference in additive noise models In: Proceedings of the 26th International Conference on Machine Learning, (Ed) A Danyluk, L Bottou and M Littman, ICML 2009, ACM Press, New York, NY, USA, 745-752.
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Contributions to books (1):

Schölkopf B Person, Janzing D Person, Peters J Person, Sgouritsa E Person, Zhang K Person and Mooij J Person: Semi-supervised learning in causal and anticausal settings, 129--141. In: Empirical Inference, (Ed) Z Luo B Schölkopf and V Vovk, Springer-Verlag, (2013).

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