Dominik Janzing
Dominik Janzing
Amazon Development Center, Tuebingen
Verified email at tuebingen.mpg.de
TitleCited byYear
Nonlinear causal discovery with additive noise models
PO Hoyer, D Janzing, JM Mooij, J Peters, B Schölkopf
Advances in neural information processing systems, 689-696, 2009
4662009
Kernel-based conditional independence test and application in causal discovery
K Zhang, J Peters, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3775, 2012
2722012
Elements of causal inference: foundations and learning algorithms
J Peters, D Janzing, B Schölkopf
MIT press, 2017
2662017
Thermodynamic cost of reliability and low temperatures: tightening Landauer's principle and the second law
D Janzing, P Wocjan, R Zeier, R Geiss, T Beth
International Journal of Theoretical Physics 39 (12), 2717-2753, 2000
2192000
Distinguishing cause from effect using observational data: methods and benchmarks
JM Mooij, J Peters, D Janzing, J Zscheischler, B Schölkopf
The Journal of Machine Learning Research 17 (1), 1103-1204, 2016
2172016
Causal discovery with continuous additive noise models
J Peters, JM Mooij, D Janzing, B Schölkopf
The Journal of Machine Learning Research 15 (1), 2009-2053, 2014
1912014
Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ...
Artificial Intelligence 182, 1-31, 2012
1812012
Avoiding discrimination through causal reasoning
N Kilbertus, MR Carulla, G Parascandolo, M Hardt, D Janzing, ...
Advances in Neural Information Processing Systems, 656-666, 2017
1682017
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
1672012
Causal inference using the algorithmic Markov condition
D Janzing, B Scholkopf
IEEE Transactions on Information Theory 56 (10), 5168-5194, 2010
1362010
Inferring deterministic causal relations
P Daniusis, D Janzing, J Mooij, J Zscheischler, B Steudel, K Zhang, ...
arXiv preprint arXiv:1203.3475, 2012
1282012
Causal inference on discrete data using additive noise models
J Peters, D Janzing, B Scholkopf
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2436 …, 2011
1192011
Quantifying causal influences
D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf
The Annals of Statistics 41 (5), 2324-2358, 2013
1172013
Probabilistic latent variable models for distinguishing between cause and effect
O Stegle, D Janzing, K Zhang, JM Mooij, B Schölkopf
Advances in neural information processing systems, 1687-1695, 2010
902010
A quantum advantage for inferring causal structure
K Ried, M Agnew, L Vermeyden, D Janzing, RW Spekkens, KJ Resch
Nature Physics 11 (5), 414-420, 2015
892015
Regression by dependence minimization and its application to causal inference in additive noise models
J Mooij, D Janzing, J Peters, B Schölkopf
Proceedings of the 26th annual international conference on machine learning …, 2009
882009
Identifiability of causal graphs using functional models
J Peters, J Mooij, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3757, 2012
842012
Simulating arbitrary pair-interactions by a given Hamiltonian: Graph-theoretical bounds on the time complexity
P Wocjan, D Janzing, T Beth
arXiv preprint quant-ph/0106077, 2001
612001
On causal discovery with cyclic additive noise models
JM Mooij, D Janzing, T Heskes, B Schölkopf
Advances in neural information processing systems, 639-647, 2011
602011
Universal simulation of Hamiltonians using a finite set of control operations
P Wocjan, M Rötteler, D Janzing, T Beth
arXiv preprint quant-ph/0109063, 2001
602001
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Articles 1–20