Articles (1): |
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Peters J , Janzing D and Schölkopf B (2011) Causal Inference on Discrete Data using Additive Noise Models
IEEE Transactions on Pattern Analysis and Machine Intelligence 33(12) 2436-2450.
 
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Conference papers (11): |
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Sgouritsa E , Janzing D , Peters J and Schölkopf B (2013)
In: Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders, 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013).
accepted
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Schölkopf B , Janzing D , Peters J , Sgouritsa E , Zhang K and Mooij J (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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Janzing D , Sgouritsa E , Stegle O , Peters J and Schölkopf B (2011) Detecting low-complexity unobserved causes
(Ed) FG Cozman and A Pfeffer, 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 383-391.

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Peters J , Mooij J , Janzing D and Schölkopf B (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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Zhang K , Peters J , Janzing D and Schölkopf B (2011) Kernel-based Conditional Independence Test and Application in
Causal Discovery
(Ed) FG Cozman and A Pfeffer, 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 804-813.

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Peters J , Janzing D and Schölkopf B (2010) Identifying Cause and Effect on Discrete Data using Additive Noise Models
In: JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, (Ed) YW Teh and M Titterington, 13th International Conference on Artificial Intelligence and Statistics, JMLR, Cambridge, MA, USA, 597-604.

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Peters J , Janzing D , Gretton A and Schölkopf B (2010) Kernel Methods for Detecting the Direction of Time Series
In: Advances in Data Analysis, Data Handling and Business Intelligence, (Ed) A Fink, B Lausen, W Seidel and A Ultsch, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66.
 
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Peters J , Janzing D , Gretton A and Schölkopf B (2009) Detecting the Direction of Causal Time Series
In: Proceedings of the 26th International Conference on Machine Learning, (Ed) A Danyluk, L Bottou and ML Littman, ICML 2009, ACM Press, New York, NY, USA, 801-808.
 
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Janzing D , Peters J , Mooij JM and Schölkopf B (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 , Mooij JM , Peters J and Schölkopf B (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 , Janzing D , Peters J and Schölkopf B (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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Theses (1): |
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Peters J : Asymmetries of Time Series under Inverting their Direction, University of Heidelberg, (2008).
Diplom thesis
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