Articles (4): |
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Janzing D  , Mooij J , Zhang K , Lemeire J , Zscheischler J , Daniušis P , Steudel B and Schölkopf B (May-2012) Information-geometric approach to inferring causal directions
Artificial Intelligence 182-183 1-31.
 
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Martens SMM , Mooij JM , Hill NJ , Farquhar J and Schölkopf B (January-2011) A graphical model framework for decoding in the visual ERP-based BCI speller
Neural Computation 23(1) 160-182.
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Mooij JM (August-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 , Mooij JM and Schölkopf B (July-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 (10): |
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Stegle O , Lippert C , Mooij J , Lawrence N and Borgwardt K (January-2012) Efficient inference in matrix-variate Gaussian models with iid observation noise
In: Advances in Neural Information Processing Systems 24, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 630-638.
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Mooij J , Janzing D , Schölkopf B and Heskes T (January-2012) On Causal Discovery with Cyclic Additive Noise Models
In: Advances in Neural Information Processing Systems 24, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 639-647.
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Peters J , Mooij J , Janzing D and Schölkopf B (July-2011) Identifiability of causal graphs using functional models
27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 589-598.
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Mooij JM , Stegle O , Janzing D , Zhang K and Schölkopf B (June-2011) Probabilistic latent variable models for distinguishing between cause and effect
In: Advances in Neural Information Processing Systems 23, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 1687-1695.
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Daniusis P , Janzing D , Mooij J , Zscheischler J , Steudel B , Zhang K and Schölkopf B (July-2010) Inferring deterministic causal relations
26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 143-150.
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Mooij J and Janzing D (2010) Distinguishing between cause and effect
In: JMLR Workshop and Conference Proceedings: Volume 6, Causality: Objectives and Assessment (NIPS 2008 Workshop), MIT Press, Cambridge, MA, USA, 147-156.
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Mooij JM and Kappen B (June-2009) Bounds on marginal probability distributions
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1105-1112.
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Janzing D , Peters J , Mooij JM and Schölkopf B (June-2009) Identifying confounders using additive noise models
25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), AUAI Press, Corvallis, OR, USA, 249-257.
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Hoyer PO , Janzing D , Mooij JM , Peters J and Schölkopf B (June-2009) Nonlinear causal discovery with additive noise models
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 689-696.
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Mooij JM , Janzing D , Peters J and Schölkopf B (June-2009) Regression by dependence minimization and its application to causal inference in additive noise models
In: ICML 2009, 26th International Conference on Machine Learning, ACM Press, New York, NY, USA, 745-752.
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