Publications of J Peters

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

Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.: On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), pp. 1255 - 1262 (Eds. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)

Janzing, D.; Sgouritsa, E.; Stegle, O.; Peters, J.; Schölkopf, B.: Detecting low-complexity unobserved causes. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 383 - 391 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain, July 14, 2011 - July 17, 2011. AUAI Press, Corvallis, OR, USA (2011)

Peters, J.; Mooij, J.; Janzing, D.; Schölkopf, B.: Identifiability of causal graphs using functional models. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 589 - 598 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)

Zhang, K.; Peters, J.; Janzing, D.; Schölkopf, B.: Kernel-based Conditional Independence Test and Application in Causal Discovery. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 804 - 813 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)

Peters, J.; Janzing, D.; Schölkopf, B.: Identifying Cause and Effect on Discrete Data using Additive Noise Models. Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, May 13, 2010 - May 15, 2010. JMLR Workshop and Conference Proceedings 9, pp. 597 - 604 (2010)

Peters, J.; Janzing, D.; Gretton, A.; Schölkopf, B.: Kernel Methods for Detecting the Direction of Time Series. 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Hamburg, Germany, July 16, 2008 - July 18, 2008. Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008, pp. 57 - 66 (2010)

Hoyer, P.; Janzing, D.; Mooij, J.; Peters, J.; Schölkopf, B.: Nonlinear causal discovery with additive noise models. In: Advances in neural information processing systems 21, pp. 689 - 696 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)

Janzing, D.; Peters, J.; Mooij, J.; Schölkopf, B.: Identifying confounders using additive noise models. In: 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), pp. 249 - 257 (Eds. Bilmes, N.; Ng, A.; McAllester, D.). 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montréal, Canada, June 18, 2009 - June 21, 2009. AUAI Press, Corvallis, OR, USA (2009)

Mooij, J.; Janzing, D.; Peters, J.; Schölkopf, B.: Regression by dependence minimization and its application to causal inference in additive noise models. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 745 - 752 (Eds. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, June 14, 2009 - June 18, 2009. ACM Press, New York, NY, USA (2009)

Peters, J.; Janzing, D.; Gretton, A.; Schölkopf, B.: Detecting the Direction of Causal Time Series. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 801 - 808 (Eds. Danyluk, A.; Bottou, L.; Danyluk, M.). 26th International Conference on Machine Learning, Montreal, Canada, June 14, 2009 - June 18, 2009. ACM Press, New York, NY, USA (2009)

Mooij, J.; Janzing, D.; Peters, J.; Schölkopf, B.; Hoyer, P.: Additive noise models for causal inference. In Dagstuhl Reports, 09401, p. 10 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)

Peters, J.; Janzing, D.; Gretton, A.; Schölkopf, B.: Detecting the direction of causal time series. In Dagstuhl Reports, 09401, p. 11 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)

Peters, J.: Asymmetries of Time Series under Inverting their Direction. Diploma, 89 pp., Universität Heidelberg, Heidelberg, Germany (2008)