@article{RojSchTurPet18, title = {Invariant Models for Causal Transfer Learning}, author = {Rojas-Carulla, M. and Sch{\"o}lkopf, B. and Turner, R. and Peters, J.}, journal = {Journal of Machine Learning Research}, volume = {19}, number = {36}, pages = {1--34}, year = {2018}, doi = {}, url = {http://jmlr.org/papers/v19/16-432.html} } @article{PfiBuhSchPet18, title = {Kernel-based tests for joint independence}, author = {Pfister, N. and B{\"u}hlmann, P. and Sch{\"o}lkopf, B. and Peters, J.}, journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}, volume = {80}, number = {1}, pages = {5--31}, year = {2018}, doi = {10.1111/rssb.12235} } @book{PetJanSch17, title = {Elements of Causal Inference - Foundations and Learning Algorithms}, author = {Peters, J. and Janzing, D. and Sch{\"o}lkopf, B.}, series = {Adaptive Computation and Machine Learning Series}, publisher = {The MIT Press}, address = {Cambridge, MA, USA}, year = {2017}, doi = {} } @conference{BauSchPet16, title = {The Arrow of Time in Multivariate Time Serie}, author = {Bauer, S. and Sch{\"o}lkopf, B. and Peters, J.}, booktitle = {Proceedings of the 33rd International Conference on Machine Learning (ICML)}, volume = {48}, pages = {2043--2051}, series = {JMLR Workshop and Conference Proceedings}, editors = {Balcan, M. F. and Weinberger, K. Q.}, publisher = {JMLR}, month = jun, year = {2016}, doi = {}, url = {http://jmlr.org/proceedings/papers/v48/bauer16.pdf}, month_numeric = {6} } @article{Scholkopfetal2016, title = {Modeling Confounding by Half-Sibling Regression}, author = {Sch{\"o}lkopf, B. and Hogg, D. and Wang, D. and Foreman-Mackey, D. and Janzing, D. and Simon-Gabriel, C. J. and Peters, J.}, journal = {Proceedings of the National Academy of Science}, volume = {113}, number = {27}, pages = {7391--7398}, year = {2016}, doi = {10.1073/pnas.1511656113}, url = {http://www.pnas.org/content/113/27/7391.full} } @article{Meinshausenetal16, title = {Methods for causal inference from gene perturbation experiments and validation}, author = {Meinshausen, N. and Hauser, A. and Mooij, J. M. and Peters, J. and Versteeg, P. and B{\"u}hlmann, P.}, journal = {Proceedings of the National Academy of Sciences}, volume = {113}, number = {27}, pages = {7361--7368}, year = {2016}, doi = {10.1073/pnas.1510493113} } @article{PetBuhMei15, title = {Causal inference using invariant prediction: identification and confidence intervals}, author = {Peters, J. and B{\"u}hlmann, P. and Meinshausen, N.}, journal = {Journal of the Royal Statistical Society, Series B (Statistical Methodology)}, volume = {78}, number = {5}, pages = {947--1012}, year = {2016}, note = {(with discussion)}, doi = {10.1111/rssb.12167}, url = {http://arxiv.org/abs/1501.01332} } @article{Mooijetal16, title = {Distinguishing cause from effect using observational data: methods and benchmarks}, author = {Mooij, J.M. and Peters, J. and Janzing, D. and Zscheischler, J. and Sch{\"o}lkopf, B.}, journal = {Journal of Machine Learning Research}, volume = {17}, number = {32}, pages = {1-102}, year = {2016}, doi = {}, url = {http://jmlr.org/papers/volume17/14-518/14-518.pdf} } @article{Sipeletal15, title = {Quantifying changes in climate variability and extremes: Pitfalls and their overcoming}, author = {Sippel, Sebastian and Zscheischler, Jakob and Heimann, Martin and Otto, Friederike E. L. and Peters, Jonas and Mahecha, Miguel D.}, journal = {Geophysical Research Letters}, volume = {42}, number = {22}, pages = {9990--9998}, month = nov, year = {2015}, doi = {10.1002/2015GL066307}, month_numeric = {11} } @article{PetBuh2015, title = {Structural Intervention Distance (SID) for Evaluating Causal Graphs}, author = {Peters, J. and B{\"u}hlmann, P.}, journal = {Neural Computation }, volume = {27}, number = {3}, pages = {771-799}, year = {2015}, doi = {10.1162/NECO_a_00708} } @article{Peters2015, title = {On the Intersection Property of Conditional Independence and its Application to Causal Discovery}, author = {Peters, J.}, journal = {Journal of Causal Inference}, volume = {3}, number = {1}, pages = {97-108}, year = {2015}, doi = {10.1515/jci-2014-0015} } @article{SchMuaFukHarPet15, title = {Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations}, author = {Sch{\"o}lkopf, B. and Muandet, K. and Fukumizu, K. and Harmeling, S. and Peters, J.}, journal = {Statistics and Computing }, volume = {25}, number = {4}, pages = {755--766}, year = {2015}, doi = {10.1007/s11222-015-9558-5} } @inproceedings{Scholkopfetal2015, title = {Removing systematic errors for exoplanet search via latent causes}, author = {Sch{\"o}lkopf, B. and Hogg, D. and Wang, D. and Foreman-Mackey, D. and Janzing, D. and Simon-Gabriel, C. J. and Peters, J.}, booktitle = {Proceedings of The 32nd International Conference on Machine Learning}, volume = {37}, pages = {2218–2226}, series = {JMLR Workshop and Conference Proceedings}, editors = {Bach, F. and Blei, D.}, publisher = {JMLR}, year = {2015}, doi = {}, url = {http://jmlr.org/proceedings/papers/v37/scholkopf15.html } } @conference{RotHeiPetMei15, title = {BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions}, author = {Rothenh\"{a}usler, Dominik and Heinze, Christina and Peters, Jonas and Meinshausen, Nicolai}, booktitle = {Advances in Neural Information Processing Systems 28}, pages = {1513--1521}, editors = {C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett}, publisher = {Curran Associates, Inc.}, year = {2015}, doi = {}, url = {http://papers.nips.cc/paper/5682-backshift-learning-causal-cyclic-graphs-from-unknown-shift-interventions.pdf} } @article{PetBuh14, title = {Identifiability of {G}aussian Structural Equation Models with Equal Error Variances}, author = {Peters, J. and B{\"u}hlman, P.}, journal = {Biometrika}, volume = {101}, number = {1}, pages = {219--228}, year = {2014}, doi = {10.1093/biomet/ast043} } @article{BuhPetErn14, title = {{CAM}: Causal Additive Models, high-dimensional order search and penalized regression}, author = {{B{\"u}hlmann}, P and Peters, J. and Ernest, J.}, journal = {Annals of Statistics}, volume = {42}, number = {6}, pages = {2526-2556}, year = {2014}, doi = {10.1214/14-AOS1260} } @article{PetersMJS2014, title = {Causal Discovery with Continuous Additive Noise Models }, author = {Peters, J. and Mooij, JM. and Janzing, D. and Sch{\"o}lkopf, B.}, journal = {Journal of Machine Learning Research}, volume = {15}, pages = {2009-2053}, year = {2014}, doi = {} } @inbook{ScholkopfJPSZMV2013, title = {Semi-supervised learning in causal and anticausal settings}, author = {Sch{\"o}lkopf, B. and Janzing, D. and Peters, J. and Sgouritsa, E. and Zhang, K. and Mooij, J.}, booktitle = {Empirical Inference}, pages = {129--141}, chapter = {13}, series = {Festschrift in Honor of Vladimir Vapnik}, editors = {Sch{\"o}lkopf, B., Luo, Z. and Vovk, V.}, publisher = {Springer}, year = {2013}, doi = {10.1007/978-3-642-41136-6_13} } @article{BottouPQCCPRSS13, title = {Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising}, author = {Bottou, L. and Peters, J. and Qui{\~n}onero-Candela, J. and Charles, D.X. and Chickering, D.M. and Portugualy, E. and Ray, D. and Simard, P. and Snelson, E.}, journal = {Journal of Machine Learning Research}, volume = {14}, pages = {3207--3260}, year = {2013}, doi = {}, url = {http://jmlr.org/papers/v14/bottou13a.html} } @inproceedings{SgouritsaJPS2013, title = {Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders }, author = {Sgouritsa, E. and Janzing, D. and Peters, J. and Sch{\"o}lkopf, B.}, booktitle = {Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI)}, pages = {556-565}, editors = {A Nicholson and P Smyth}, publisher = {AUAI Press Corvallis}, address = {Oregon, USA}, year = {2013}, doi = {} } @inproceedings{PetersJSLMZK2013, title = {Causal Inference on Time Series using Restricted Structural Equation Models}, author = {Peters, J. and Janzing, D. and Sch{\"o}lkopf, B.}, booktitle = {Advances in Neural Information Processing Systems 26}, pages = {154-162}, editors = {C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger}, year = {2013}, doi = {} } @inproceedings{ScholkopfJPSZMJ2012, title = {On Causal and Anticausal Learning}, author = {Sch{\"o}lkopf, B. and Janzing, D. and Peters, J. and Sgouritsa, E. and Zhang, K. and Mooij, J.}, booktitle = {Proceedings of the 29th International Conference on Machine Learning}, pages = {1255-1262}, editors = {J Langford and J Pineau}, publisher = {Omnipress}, address = {New York, NY, USA}, year = {2012}, doi = {} } @phdthesis{Peters2012, title = {Restricted structural equation models for causal inference}, author = {Peters, J.}, institution = {ETH Zurich, Switzerland}, year = {2012}, doi = {10.3929/ethz-a-007597940}, url = {http://e-collection.library.ethz.ch/view/eth:6445} } @article{PetersJS2011, title = {Causal Inference on Discrete Data using Additive Noise Models}, author = {Peters, J. and Janzing, D. and Sch{\"o}lkopf, B.}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {33}, number = {12}, pages = {2436-2450}, month = dec, year = {2011}, doi = {10.1109/TPAMI.2011.71}, month_numeric = {12} } @inproceedings{JanzingSSPS2011, title = {Detecting low-complexity unobserved causes}, author = {Janzing, D. and Sgouritsa, E. and Stegle, O. and Peters, J. and Sch{\"o}lkopf, B.}, pages = {383-391}, editors = {FG Cozman and A Pfeffer}, publisher = {AUAI Press}, address = {Corvallis, OR, USA}, month = jul, year = {2011}, doi = {}, month_numeric = {7} } @inproceedings{PetersMJS2011, title = {Identifiability of causal graphs using functional models}, author = {Peters, J. and Mooij, J. and Janzing, D. and Sch{\"o}lkopf, B.}, pages = {589-598}, editors = {FG Cozman and A Pfeffer}, publisher = {AUAI Press}, address = {Corvallis, OR, USA}, month = jul, year = {2011}, doi = {}, month_numeric = {7} } @inproceedings{ZhangPJS2011, title = {Kernel-based Conditional Independence Test and Application in Causal Discovery}, author = {Zhang, K. and Peters, J. and Janzing, D. and Sch{\"o}lkopf, B.}, pages = {804-813}, editors = {FG Cozman and A Pfeffer}, publisher = {AUAI Press}, address = {Corvallis, OR, USA}, month = jul, year = {2011}, doi = {}, month_numeric = {7} } @inproceedings{6387, title = {Identifying Cause and Effect on Discrete Data using Additive Noise Models}, author = {Peters, J. and Janzing, D. and Sch{\"o}lkopf, B.}, journal = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)}, booktitle = {JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010}, pages = {597-604}, editors = {YW Teh and M Titterington}, publisher = {JMLR}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = may, year = {2010}, doi = {}, month_numeric = {5} } @inproceedings{5662, title = {Kernel Methods for Detecting the Direction of Time Series }, author = {Peters, J. and Janzing, D. and Gretton, A. and Sch{\"o}lkopf, B.}, journal = {Advances in Data Analysis, Data Handling and Business Intelligence}, booktitle = {Advances in Data Analysis, Data Handling and Business Intelligence}, pages = {57-66}, editors = {A Fink and B Lausen and W Seidel and A Ultsch}, publisher = {Springer}, organization = {Max-Planck-Gesellschaft}, institution = {Gesellschaft für Klassifikation}, school = {Biologische Kybernetik}, address = {Berlin, Germany}, year = {2010}, doi = {10.1007/978-3-642-01044-6_5} } @inproceedings{5902, title = {Detecting the Direction of Causal Time Series}, author = {Peters, J. and Janzing, D. and Gretton, A. and Sch{\"o}lkopf, B.}, booktitle = {Proceedings of the 26th International Conference on Machine Learning}, pages = {801-808}, editors = {A Danyluk and L Bottou and ML Littman}, publisher = {ACM Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {New York, NY, USA}, month = jun, year = {2009}, doi = {10.1145/1553374.1553477}, month_numeric = {6} } @inproceedings{5406, title = {Nonlinear causal discovery with additive noise models}, author = {Hoyer, PO. and Janzing, D. and Mooij, JM. and Peters, J. and Sch{\"o}lkopf, B.}, journal = {Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008}, booktitle = {Advances in neural information processing systems 21}, pages = {689-696}, editors = {D Koller and D Schuurmans and Y Bengio and L Bottou}, publisher = {Curran}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Red Hook, NY, USA}, month = jun, year = {2009}, doi = {}, month_numeric = {6} } @inproceedings{5903, title = {Identifying confounders using additive noise models}, author = {Janzing, D. and Peters, J. and Mooij, JM. and Sch{\"o}lkopf, B.}, journal = {Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009)}, booktitle = {Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence}, pages = {249-257}, editors = {J Bilmes and AY Ng}, publisher = {AUAI Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Corvallis, OR, USA}, month = jun, year = {2009}, doi = {}, month_numeric = {6} } @inproceedings{5869, title = {Regression by dependence minimization and its application to causal inference in additive noise models}, author = {Mooij, JM. and Janzing, D. and Peters, J. and Sch{\"o}lkopf, B.}, booktitle = {Proceedings of the 26th International Conference on Machine Learning}, pages = {745-752}, editors = {A Danyluk and L Bottou and M Littman}, publisher = {ACM Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {New York, NY, USA}, month = jun, year = {2009}, doi = {10.1145/1553374.1553470}, month_numeric = {6} } @thesis{6034, title = {Asymmetries of Time Series under Inverting their Direction}, author = {Peters, J.}, institution = {University of Heidelberg}, school = {Biologische Kybernetik}, month = aug, year = {2008}, doi = {}, month_numeric = {8} }