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Nobody
Joris Mooij
Dr.
Position: Research Scientist
Room no.: 226
Phone: +49 7071 601 542
Fax: +49 7071 601 552

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2014
Articles
2013
Conference Papers
  • J. Mooij, D. Janzing, B. Schölkopf (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, AUAI Press, Corvallis, Oregon, 440-448, UAI 2013
Contributions to books
2012
Articles
Conference Papers
2011
Articles
Conference Papers
  • J. Mooij, D. Janzing, B. Schölkopf, T. Heskes (2011). On Causal Discovery with Cyclic Additive Noise Models In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor and RS Zemel and PL Bartlett and FCN Pereira and KQ Weinberger, Curran Associates, Inc., Red Hook, NY, USA, 639-647, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011)
  • O. Stegle, C. Lippert, J. Mooij, N. Lawrence, K. Borgwardt (2011). Efficient inference in matrix-variate Gaussian models with iid observation noise In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger, 630-638, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011)
2010
Conference Papers
  • J. Mooij, D. Janzing (2010). Distinguishing between cause and effect In: JMLR Workshop and Conference Proceedings: Volume 6, (Ed) Guyon, I. , D. Janzing, B. Schölkopf, MIT Press, Cambridge, MA, USA, 147-156, Causality: Objectives and Assessment (NIPS 2008 Workshop)
  • JM. Mooij, O. Stegle, D. Janzing, K. Zhang, B. Schölkopf (2010). Probabilistic latent variable models for distinguishing between cause and effect In: Advances in Neural Information Processing Systems 23, (Ed) J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Curran, Red Hook, NY, USA, 1687-1695, ISBN: 978-1-617-82380-0, 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)
Articles
  • JM. Mooij (2010). libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Journal of Machine Learning Research, 11, 2169-2173
2009
Conference Papers
  • JM. Mooij, D. Janzing, J. Peters, B. Schölkopf (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 and L Bottou and M Littman, Proceedings of the 26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 745-752, ICML 2009
  • PO. Hoyer, D. Janzing, JM. Mooij, J. Peters, B. Schölkopf (2009). Nonlinear causal discovery with additive noise models In: Advances in neural information processing systems 21, (Ed) D Koller and D Schuurmans and Y Bengio and L Bottou, Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Curran, Red Hook, NY, USA, 689-696, ISBN: 978-1-605-60949-2, 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008)
  • D. Janzing, J. Peters, JM. Mooij, B. Schölkopf (2009). Identifying confounders using additive noise models In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, (Ed) J Bilmes and AY Ng, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), AUAI Press, Corvallis, OR, USA, 249-257, ISBN: 978-0-9749039-5-8 , UAI 2009
  • JM. Mooij, B. Kappen (2009). Bounds on marginal probability distributions In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Curran, Red Hook, NY, USA, 1105-1112, ISBN: 978-1-605-60949-2, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)