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Jonas Peters
Position: Group Leader
Room no.: 217
Phone: +49 7071 601 568
Fax: +49 7071 601 552

I will be a group leader from March 1st 2015. Until then, please visit my homepage at ETH Zurich.

http://stat.ethz.ch/people/jopeters

 

I will be a group leader from March 1st 2015. Until then, please visit my homepage at ETH Zurich.

http://stat.ethz.ch/people/jopeters


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2015
Articles
2014
Articles
  • P Bühlmann, J. Peters, J. Ernest (2014). CAM: Causal Additive Models, high-dimensional order search and penalized regression Annals of Statistics, 42, (6), 2526-2556
  • J. Peters, P. Bühlman (2014). Identifiability of Gaussian Structural Equation Models with Equal Error Variances Biometrika, 101, (1), 219–228
2013
Articles
  • L. Bottou, J. Peters, J. Quiñonero-Candela, D.X. Charles, D.M. Chickering, E. Portugualy, D. Ray, P. Simard, E. Snelson (2013). Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising Journal of Machine Learning Research, 14, 3207–3260
Conference Papers
  • E. Sgouritsa, D. Janzing, J. Peters, B. Schölkopf (2013). Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders In: Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), (Ed) A Nicholson and P Smyth, AUAI Press Corvallis, Oregon, USA, 556-565, UAI 2013
  • J. Peters, D. Janzing, B. Schölkopf (2013). Causal Inference on Time Series using Restricted Structural Equation Models In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger, 154-162, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
Contributions to books
2012
Conference Papers
2011
Conference Papers
  • K. Zhang, J. Peters, D. Janzing, B. Schölkopf (2011). Kernel-based Conditional Independence Test and Application in Causal Discovery (Ed) FG Cozman and A Pfeffer, AUAI Press, Corvallis, OR, USA, 804-813, ISBN: 978-0-9749039-7-2, 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
Articles
2010
Conference Papers
  • J. Peters, D. Janzing, A. Gretton, B. Schölkopf (2010). Kernel Methods for Detecting the Direction of Time Series In: Advances in Data Analysis, Data Handling and Business Intelligence, (Ed) A Fink and B Lausen and W Seidel and A Ultsch, Advances in Data Analysis, Data Handling and Business Intelligence, Springer, Gesellschaft für Klassifikation, Berlin, Germany, 57-66, ISBN: 978-3-642-01044-6, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008)
  • J. Peters, D. Janzing, B. Schölkopf (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, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), JMLR, Cambridge, MA, USA, 597-604, 13th International Conference on Artificial Intelligence and Statistics
2009
Conference Papers
  • 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)
  • J. Peters, D. Janzing, A. Gretton, B. Schölkopf (2009). Detecting the Direction of Causal Time Series In: Proceedings of the 26th International Conference on Machine Learning, (Ed) A Danyluk and L Bottou and ML Littman, Proceedings of the 26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 801-808, ICML 2009
  • 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
  • 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
2008
Theses
  • J. Peters (2008). Asymmetries of Time Series under Inverting their Direction University of Heidelberg