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Journal Article (2)

Journal Article
Janzing, D.; Mooij, J.; Zhang, K.; Lemeire, J.; Zscheischler, J.; Daniušis, P.; Steudel, B.; Schölkopf, B.: Information-geometric approach to inferring causal directions. Artificial Intelligence 182-183, pp. 1 - 31 (2012)
Journal Article
Janzing, D.; Steudel, B.: Justifying Additive Noise Model-Based Causal Discovery via Algorithmic Information Theory. Open Systems and Information Dynamics 17 (2), pp. 189 - 212 (2010)

Conference Paper (2)

Conference Paper
Daniusis, P.; Janzing, D.; Mooij, J.; Zscheischler, J.; Steudel, B.; Zhang, K.; Schölkopf, B.: Inferring deterministic causal relations. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), pp. 143 - 150 (Eds. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, July 08, 2010 - July 11, 2010. AUAI Press, Corvallis, OR, USA (2010)
Conference Paper
Steudel, B.; Janzing, D.; Schölkopf, B.: Causal Markov condition for submodular information measures. In: 23rd Annual Conference on Learning Theory (COLT 2010), pp. 464 - 476 (Eds. Tauman Kalai, A.; Mohri, M.). 23rd Annual Conference on Learning Theory (COLT 2010), Haifa, Israel, June 27, 2010 - June 29, 2010. OmniPress, Madison, WI, USA (2010)
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