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Jonas Peters

Address:	Spemannstr. 38 72076 Tübingen
Room number:	217
Phone:	+49 7071 601 568
Fax:	+49 7071 601 552
E-Mail:	jonas.peters

Jonas Peters

Position: PhD Student Unit: Alumni Schölkopf

Overview
Curriculum Vitae
Publications

... since Feb 2012 I am at the ETH Zurich

Scientific Interests
I am working on causal inference problems. Especially, I am interested in recovering the causal DAGs from iid data (continuous and discrete) and from single instances of time series.
In my diploma thesis I developed a method that tries to rediscover the correct time direction when given a real-world time series and its reversed sample.
If you like, have a look at our group homepage where you can find publications, data, code, etc..

Personal interests

Education

2009 -	PhD Student at MPI for Intelligent Systems in Tuebingen and at ETH Zurich
2009	Diploma in Mathematics at University of Heidelberg
2007-2008	Diploma Thesis at MPI for Intelligent Systems in Tuebingen
2006-2007	Master of Advanced Study (Part III, Mathematics) at University of Cambridge
2005	Pre-Diploma in Mathematics at University of Heidelberg
2002	Abitur at Burg-Gymnasium Bad Bentheim
2001	Participation in Pupil's Academy in Braunschweig

Professional Experience

2009-2011	Tutor at Pupil's Academies in Rostock and Hilden
2005-2006	Scientific Employee at University of Heidelberg (Tutor and Professor's Assistant)
2002-2003	Civilian Service (Administration of a Children's Home)

Scholarships and Awards

2004-2008	Scholar of the German National Academic Foundation (Studienstiftung des Deutschen Volkes)
2007	UNWIN prize and election to scholar (Downing College, Cambridge)
2006-2007	Scholar of European Excellence Programme (EEP) of DAAD, Kurt-Hahn-Trust and Hoelderlin Programme (Allianz)

Personal Interests

Cello, Chess, Football, Climate Change, Biking, Hiking

Articles (1):
•	Peters J , Janzing D and Schölkopf B (December-2011) Causal Inference on Discrete Data using Additive Noise Models IEEE Transactions on Pattern Analysis and Machine Intelligence 33(12) 2436-2450.
Conference papers (9):
•	Janzing D , Sgouritsa E , Stegle O , Peters J and Schölkopf B (July-2011) Detecting low-complexity unobserved causes 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 383-391.
•	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.
•	Zhang K , Peters J , Janzing D and Schölkopf B (July-2011) Kernel-based Conditional Independence Test and Application in Causal Discovery 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 804-813.
•	Peters J , Janzing D and Schölkopf B (May-2010) Identifying Cause and Effect on Discrete Data using Additive Noise Models In: JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, Thirteenth International Conference on Artificial Intelligence and Statistics, JMLR, Cambridge, MA, USA, 597-604.
•	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, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66.
•	Peters J , Janzing D , Gretton A and Schölkopf B (June-2009) Detecting the Direction of Causal Time Series In: ICML 2009, 26th International Conference on Machine Learning, ACM Press, New York, NY, USA, 801-808.
•	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.
•	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.
•	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.
Theses (1):
•	Peters J : Asymmetries of Time Series under Inverting their Direction, University of Heidelberg, (August-2008). Diplom thesis