Contact

Jonas Peters

Address: Spemannstr. 38
72076 Tübingen
Room number: 217
Phone: +49 7071 601 568
Fax: +49 7071 601 552
E-Mail: jonas.peters
Print page    
Picture of Peters, Jonas

Jonas Peters

Position: Group Leader  Unit: Alumni Schölkopf

Please visit my new homepage at ETH Zurich.

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

Please visit my new homepage at ETH Zurich.

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

Preferences: 
References per page: Year: Medium:

  
Show abstracts

Articles (2):

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.
pdf
Peters J Person, Janzing D Person and Schölkopf B Person (2011) Causal Inference on Discrete Data using Additive Noise Models IEEE Transactions on Pattern Analysis and Machine Intelligence 33(12) 2436-2450.
pdf

Conference papers (12):

Peters J Person, Janzing D Person and Schölkopf B Person (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, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 154-162.
Sgouritsa E Person, Janzing D Person, Peters J Person and Schölkopf B Person (2013) Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders In: Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence, (Ed) A Nicholson and P Smyth, UAI 2013, AUAI Press Corvallis, Oregon, USA, 556-565.
pdf
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.
pdf
Janzing D Person, Sgouritsa E Person, Stegle O Person, Peters J Person and Schölkopf B Person (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.
pdf
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.
pdf
Zhang K Person, Peters J Person, Janzing D Person and Schölkopf B Person (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.
pdf
Peters J Person, Janzing D Person and Schölkopf B Person (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.
pdf
Peters J Person, Janzing D Person, Gretton A Person and Schölkopf B Person (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.
pdf
Peters J Person, Janzing D Person, Gretton A Person and Schölkopf B Person (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.
pdf
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.
pdf
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.
pdf
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.
pdf

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).

Theses (1):

Peters J Person: Asymmetries of Time Series under Inverting their Direction, University of Heidelberg, (2008). Diplom thesis
pdf

Export as:
BibTeX, XML, Pubman, Edoc